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The Department of Computer Science
of Colorado State University, in cooperation with ISTeC
(Information Science and Technology Center), offers the CS
Colloquium series as a service to all who are interested
in computer science. Most seminars are scheduled for
Monday 11:00 AM -- 11:50 AM in CSB 130 or Morgan Library
Event Hall. For help finding the locations of our seminar
meetings, consult the on-line CSU campus map. |
CS Colloquium Schedule, Spring 2019
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Computer
Science Department Colloquium The CS Graduate Program: Q&A Speakers: Sanjay Rajopadhye, Professor, Graduate Director, Department of Computer Science, Colorado State University Chuck Anderson, Professor, Department of Computer Science, Colorado State University Sangmi Pallickara, Associate Professor, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, January 28, 2019 Where: CSB130  Abstract: This is an informational talk about the Computer Science Graduate Program with a Q&A session. |
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Computer
Science
Department Colloquium Pushing the limits of hardware acceleration Speaker: Steven Derrien, Professor, Joint EE/CS department, University of Rennes 1, France When: 11:00AM ~ 11:50AM, February 4, 2019 Where: CSB130 Abstract: FPGA and ASIC hardware accelerators are now finding their way into datacenters and cloud computing architectures. Such devices significantly outperform CPUs and GPUs for many workloads, either from the performance or energy efficiency point of view.>>Read More Bio: Steven Derrien is a professor in the joint EE/CS departement at University of Rennes 1 in France. He is also a member of the CAIRN research group at IRISA/INRIA. His research interests revolve around High Level Synthesis of non programmable hardware accelerators and hardware design in general. Video |
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Computer
Science
Department Special Seminar Contact: Asa Ben-Hur (asa@cs.colostate.edu) |
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Computer
Science
Department
Special Seminar |
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Computer
Science
Department
Special
Seminar Conversational Machine Learning Speaker: Shashank Srivastava, AI Resident, Microsoft Research, Redmond, NLP and Deep Learning Groups When: 9:00AM -10:00AM, March 6, 2019 Where: Clark A-203 Contact: Asa Ben-Hur (asa@cs.colostate.edu) Abstract: Humans can efficiently learn and communicate new knowledge about the world through natural language (e.g, the concept of important emails may be described through explanations like ‘late night emails from my boss are usually important’). Can machines be similarly taught new tasks and behavior through natural language interactions with their users? In this talk, we'll explore two approaches towards language-based learning for classifications tasks. >>Read More Bio: Shashank Srivastava recently received his PhD from the Machine Learning department at CMU in 2018, and currently works at Microsoft Research. Shashank's research interests lie in conversational learning, interactive AI and grounded language understanding, and his dissertation focuses on helping machines learn from human interactions. >>Read More Video |
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Computer Science Department
Seminar Scalable AUC Maximization Algorithms Speaker: Majdi Khaled Alnnfiai, Ph.D Candidate, Computer Science Department, Colorado State University When: 11:00AM ~ 11:50AM, March 11, 2019 Where: CSB 130 Abstract: Classification is a major task in machine learning and data mining applications. Many of these applications involve building a classification model using a large volume of imbalanced data. In such an imbalanced learning scenario, the area under the ROC curve (AUC) has proven to be a reliable performance measure to evaluate a classifier. Therefore, it is desirable to develop scalable learning algorithms that maximize the AUC metric directly. In this talk, I will present scalable algorithms we designed for AUC maximization. In an online setting, we develop second-order AUC maximization algorithms based on a confidence-weighted model. The proposed algorithms exploit the second-order information to improve the convergence rate and implement a fixed-size buffer to address the multivariate nature of the AUC objective function. In a stochastic setting, we propose a fast convergence algorithm accelerated using a unique combination of scheduled regularization update and scheduled averaging. I will also describe a proximal variant of our accelerated stochastic AUC maximization algorithm. |
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Computer
Science
Department
Special Seminar Program Synthesis for Software-Defined Networking Speaker: Jedidiah McClurg, Assistant Professor, Computer Science, University of New Mexico When: 2:00PM ~ 3:00PM, March 14, Thursday, 2019 Where: CLARK A202 Contact: Wim Bohm (bohm@cs.colostate.edu) Abstract: Transient network bugs such as forwarding loops or black holes can cause problems that range from mildly annoying (degraded quality while watching Netflix) to catastrophic (data loss, security breaches, downtime). Software-defined networking (SDN) offers a new level of network programmability, enabling such bugs to be tackled using custom software, but unfortunately, current SDN programming platforms have a key limitation—they lack mechanisms for correctly changing the global configuration (the set of all forwarding rules on the switches). >>Read More Bio: Jedidiah (Jed) McClurg is an Assistant Professor of Computer Science at the University of New Mexico, and received his Ph.D. from the CUPLV group at the University of Colorado Boulder in 2018. He is currently working on research in synthesis and verification of software-defined network (SDN) programs, but has broad interest in programming languages, formal methods, and networking. >>Read More Video |
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Computer
Science
Department
Special
Seminar Contact: Wim Bohm
(bohm@cs.colostate.edu) |
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Computer Science Department
Special Seminar New Storage Technologies for Big Data Processing on Cloud and Data Center Infrastructures Speaker: Janki Bhimani, Ph.D. Candidate, Department of Electrical and Computer Engineering, Northeastern University When: 2:00PM ~ 3:00PM, Wednesday March 27, 2019 Where: CLARK A202 Contact: Wim Bohm (bohm@cs.colostate.edu) Abstract: A new era of “Data Age” is approaching today. Data is the fuel for analytics of all the emerging technologies of Internet-of-Things (IoT) and cloud computing. Data management plays a critical role in delivering real-world impacts. However, it is challenging for any systems to efficiently manage data to achieve low latency, high throughput, and good endurance. >>Read More Bio: Janki Bhimani is a fifth-year Ph.D. student from Department of Electrical and Computer Engineering at Northeastern University. She got her B.S. in Electrical and Electronics Engineering from GITAM University in 2013 and her M.S. in Electrical and Computer Engineering from Northeastern University in 2014. >>Read More Video |
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ISTeC
Distinguished
Lecture in conjunction with the Computer Science
Department and the Electrical and Computer Engineering
Department Seminar Series Contact: Jonathan E.
Carlyon (Jonathan.Carlyon@ColoState.EDU) |
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Computer Science Department and
Electrical and Computer Engineering Department
Colloquium |
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Computer Science Department
Colloquium Formal Methods for the Development of Robust Cyber-Physical Systems Speaker: Vinayak Prabhu, Assistant Professor, Computer Science Department, Colorado State University When: 11:00PM ~ 11:50AM, Monday, April 1, 2019 Where: CSB 130 Abstract: Cyber-Physical Systems (CPS) incorporate integration of control software, physical sensors and physical hardware in which computing devices interact with the physical world in a feedback loop, such as in avionics, self-driving cars, or in medical devices. While system correctness has always been a desired property, bugs in safety-critical systems are particularly unacceptable as they can have catastrophic consequences. Techniques from the formal methods community from Computer Science have recently emerged as a toolset which can aid "correct-by-construction" design, and can enhance traditional testing approaches for developing more robust systems. I will give an overview of some of the approaches I have used in my research. Bio: Vinayak Prabhu is an Assistant Professor in the Department of Computer Science at CSU. He has worked as a researcher in the Real-Time Systems group at the University of Pennsylvania, in the Underwater Systems and Technologies Laboratory at the University of Porto (Portugal), and in the Rigorous Software Engineering group at the Max Planck Institute for Software Systems in Germany. His research interests are in using formal methods techniques for the design and analysis of robust systems; in particular in the design, verification, testing, and control of models of Cyber-Physical Systems. Video |
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Computer Science Department
Colloquium Inferring latent networks from longitudinal relational data Speaker: Bailey Fosdick, Assistant Professor, Department of Statistics, Colorado State University When: 11:00AM ~ 11:50AM, Monday, April 8, 2019 Where: CSB 130 Abstract: Longitudinal bipartite relational data characterize the evolution of relations between pairs of actors, where actors are of two distinct types and relations exist only between disparate types. A common goal is to understand the temporal dependencies, specifically which actor relations incite later actor relations. There are two existing approaches to this problem. The first approach projects the bipartite data in each time period to a unipartite network and uses existing unipartite network models. Unfortunately, information is lost in calculating the projection and generative models for networks obtained through this process are scarce. The second approach represents dependencies using two unipartite influence networks, corresponding to the two actor types. Existing models taking this approach are bilinear in the influence networks, creating challenges in computation and interpretation. We propose a novel generative model that permits estimation of weighted, directed influence networks and does not suffer from these shortcomings. The proposed model is linear in the influence networks, permitting inference using off-the-shelf software tools. We prove our estimator is consistent under cases of model misspecification. We demonstrate the performance of the proposed model in simulation studies and an analysis of weekly international state interactions. This is joint work with Frank Marrs, Skyler Cranmer, Benjamin Campbell and Tobias Bohmelt. Bio: Bailey Fosdick is an Assistant Professor in the Department of Statistics at Colorado State University. She completed her Ph.D. in the Department of Statistics at the University of Washington and spent a year as a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute. Her primary research interests lie in developing statistical methodology to analyze network data, covariance models for multiway data, and applications of Bayesian methodology in the social sciences. |
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Computer Science
Department Special Seminar Protocols, infrastructure, and fragility: new perspectives on Internet routing resilience Speaker: Robert Beverly, Associate Professor, Department of Computer Science, Naval Postgraduate School (NPS) When: 2:00PM ~ 2:50PM, Monday April 8, 2019 Where: CLARK A202 Contact: Wim Bohm (bohm@cs.colostate.edu) Abstract: While routing is fundamental to the functionality of the Internet, empirical evidence demonstrates that this critical infrastructure is often and easily disrupted. >>Read More Bio: Dr. Robert Beverly is an Associate Professor in the Department of Computer Science at the Naval Postgraduate School (NPS) in Monterey, CA. He and his students focus on problems in network architecture, measurement, and security. >>Read More |
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ISTeC
Distinguished
Lecture
in conjunction with the Computer Science Department and
the Electrical and Computer Engineering Department Seminar
Series
Abstract: Personal computing went through a
revolution just over a decade ago with the introduction of
the smartphone. In this talk, I will argue that we are on
the cusp of another huge change in the way we consume and
interact with information—that augmented reality (AR) has
the potential to replace not only our smartphones, but
also our tablets, our desktops, and our TVs. >>Read More |
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ISTeC Distinguished Lecture in
conjunction with the Computer Science Department and the
Electrical and Computer Engineering Department Seminar
Series
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ISTeC
Distinguished
Lecture
in
conjunction with the Computer Science Department and the
Electrical and Computer Engineering Department Seminar
Series Abstract: Fueled by massive amounts of data,
models produced by machine-learning (ML) algorithms,
especially deep neural networks, are being used in diverse
domains where trustworthiness is a concern, including
automotive systems, finance, health care, natural language
processing, and malware detection.>>Read More |
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ISTeC
Distinguished
Lecture
in
conjunction with the Computer Science Department and the
Electrical and Computer Engineering Department Seminar
Series Abstract: The problem of implementing a
secure program is an ideal problem domain for formal
methods. In this talk, I will be using security as term
that encompasses traditional security concepts and also
privacy. Even a small error in the logic of a program can
drastically weaken the security and privacy guarantees
that it provides.>>Read More |
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ISTeC
Distinguished
Lecture
in
conjunction
with the Computer Science Department and the Electrical
and Computer Engineering Department Seminar Series Abstract: The Internet has become one of the
most important core infrastructures. Thus, it has raised
important new public policy issues, with three different
issues illustrating the range of problem. * Network
neutrality, in earlier versions, dates back to 1956. Even
though it is often seen as being about packet
discrimination, it is really about whether Internet
service providers get to capture more of the value
generated by their networks.>>Read More |
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ISTeC
Distinguished
Lecture
in
conjunction with the Computer Science Department and the
Electrical and Computer Engineering Department Seminar
Series
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Colorado
State University Special Joint Electrical and Computer
Engineering Department & Computer Science Department
Seminar Power Grid Resilience against Natural Hazards Speaker: Salman Mohagheghi, Associate Professor of Electrical Engineering, Colorado School of Mines When: 11:00AM ~ 11:50AM, May 6, 2019 Where: CSB130 Contact: Ali Pezeshki (pezeshki@engr.colostate.edu)
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Computer Science Department Seminar CS793 Research Seminar Presentation Speaker: Students in CS793 When: 11:00AM ~ 12:30PM, Friday May 10, 2019 Where: CSB 130 |
CS Colloquium Schedule, Fall 2018
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Computer
Science Department Colloquium The CS Graduate Program: how to thrive Speaker: Sanjay Rajopadhye, Professor, Graduate Director, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, August 20, 2018 Where: CSB130 Abstract: This is an informational talk about the Computer Science Graduate Program. I will cover department policies and rules, and also general tips about how succeed in your professional journey. Although targeted for entering graduate students, old timers may find useful tips on funding opportunities, and research paths. Video |
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Computer
Science Department Colloquium CS Faculty Rapid-Fire Presentations of Current Research | Group A Speakers: Sanjay Rajopadhye, Louis-Noel Pouchet, Hamid Chitsaz, Yashwant Malaiya, Sudipto Ghosh, Shrideep Pallickara, and Sangmi Pallickara, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, August 27, 2018 Where: CSB130 Video/ Slides |
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Colorado
State University Special Joint Electrical and Computer
Engineering Department & Computer Science Department
Seminar Helping Conservation of Snow Leopards with Image Processing and Machine Learning Speaker: Agnieszka Miguel, Associate Professor and Chair, Electrical and Computer Engineering, Seattle University When: 11:00AM ~ 11:50AM, September 10, 2018 Where: CSB130 Contact: Anthony Maciejewski (Anthony.Maciejewski@ColoState.EDU) Abstract: Camera traps are one of the primary non-invasive population survey methods for studying snow leopards. Conservation biologists first sort camera trap images into sets with snow leopards and those without.>>Read More Bio: Dr. Miguel received her Ph.D. in Electrical Engineering in 2001 from the University of Washington, and MSEE and BSEE from Florida Atlantic University in 1996 and 1994. Dr. Miguel's professional interests involve image processing, machine learning, and engineering education especially diversity and inclusion, retention, recruitment, and active learning. >>Read More Video |
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Computer
Science Department Colloquium CS Faculty Rapid-Fire Presentations of Current Research | Group B Speakers: Indrakshi Ray, Indrajit Ray, Laura Moreno Cubillos, Darrell Whitley, Ross McConnell, Asa Ben-Hur, Ross Beveridge, Bruce Draper, Vinayak Prabhu, Chuck Anderson, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, September 17, 2018 Where: CSB130 Video |
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ISTeC
Distinguished Lecture in conjunction with the Computer
Science Department and the Electrical and Computer
Engineering Department Seminar Series Big Data in Climate and Earth Sciences: Challenges and Opportunities for Machine Learning Speaker: Vipin Kumar, Regents Professor and William Norris Endowed Chair, Department of Computer Science and Engineering, University of Minnesota When: 11:00AM ~ 12:00PM, Wednesday, September 19, 2018 Where: Morgan Library Event Hall Contact: Imme Ebert-Uphoff (iebert@colostate.edu) Abstract: The climate and earth sciences have recently undergone a rapid transformation from a data-poor to a data-rich environment. In particular, massive amount of data about Earth and its environment is now continuously being generated by a large number of Earth observing satellites as well as physics-based earth system models running on large-scale computational platforms.>>Read More Bio: Vipin Kumar is a Regents Professor and hold the William Norris Chair in the Department of Computer Science and Engineering at the University of Minnesota. >>Read More Video 1 Video 2 |
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Computer
Science Department and Electrical and Computer Engineering
Department Colloquium Physics Guided Machine Learning: A New Paradigm for Modeling Science and Engineering Problems Speaker: Vipin Kumar, Regents Professor and William Norris Endowed Chair, Department of Computer Science and Engineering, University of Minnesota When: 2:00PM ~ 3:00PM, Wednesday, September 19, 2018 Where: Morgan Library Event Hall Contact: Imme Ebert-Uphoff (iebert@colostate.edu) Abstract: Physics-based models of dynamical systems are often used to study engineering and environmental systems. Despite their extensive use, these models have several well-known limitations due to incomplete or inaccurate representations of the physical processes being modeled.>>Read More Bio: Vipin Kumar is a Regents Professor and hold the William Norris Chair in the Department of Computer Science and Engineering at the University of Minnesota. >>Read More |
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Computer
Science Department Colloquium Gestures and Other Modalities for User Interaction for 3D User Interfaces Speaker: Francisco Ortega, Assistant Professor, Computer Science Department, Colorado State University When: 11:00AM ~ 11:50AM, September 24, 2018 Where: CSB130 Abstract: Gesture elicitation and recognition research are important due to the increase of new input modalities in order to improve 3D user interfaces, including virtual reality (VR) and augmented reality (AR). >>Read More Bio: Dr. Francisco R. Ortega is an Assistant Professor at Colorado State University. Dr. Ortega earned his Ph.D. in Computer Science (CS) in the field of Human-Computer Interaction (HCI) and 3D User Interfaces (3DUI) from Florida International University (FIU). >>Read More Video |
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Computer
Science Department Colloquium Digital Signatures to Ensure the Authenticity and Integrity of Synthetic DNA Molecules Speaker: Diptendu Kar, Graduate Student, Computer Science Department, Colorado State University When: 11:00AM ~ 11:50AM, October 8, 2018 Where: CSB130 Abstract: DNA synthesis has become increasingly common, and many synthetic DNA molecules are licensed intellectual property (IP). DNA samples are shared between academic labs, ordered from DNA synthesis companies and manipulated for a variety of different purposes, mostly to study their properties and improve upon them. However, it is not uncommon for a sample to change hands many times with very little accompanying information and no proof of origin. >>Read More Video |
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ISTeC
Distinguished Lecture in conjunction with the Computer
Science Department and the Electrical and Computer
Engineering Department Seminar Series How 2G Computational Social Science Can Revolutionize the Study of 'Dark' Networks Speaker: Jytte Klausen, Lawrence A. Wien Professor of International Cooperation, Department of Politics, Brandeis University When: 11:00AM ~ 11:50AM, October 15, 2018 Where: Morgan Library Event Hall Contact: Anura Jayasumana (Anura.Jayasumana@ColoState.edu) Abstract: Klausen will illustrate the utility of computational social science methodologies with examples from her own research on global terrorist networks. >>Read More Bio: Jytte Klausen, Ph.D. (political science), is the Lawrence A. Wien Professor of International Cooperation at Brandeis University and an Affiliate at the Center for European Studies at Harvard University. >>Read More Video 1 Video 2 |
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Computer
Science Department and Electrical and Computer Engineering
Department Colloquium The Call of Duty: The Making of a ‘Homegrown’ Terrorist Speaker: Jytte Klausen, Lawrence A. Wien Professor of International Cooperation, Department of Politics, Brandeis University When: 4PM ~ 5PM, Tuesday, October 16, 2018 Where: 310, Lory Student Center Contact: Anura Jayasumana (Anura.Jayasumana@ColoState.edu) Abstract: “It's actually quite fun. It's really really fun. It's better than that game Call of Duty. It's like that but it's in 3D where everything is happening in front of you." -Abu Sumayyah Al-Britani (2014) A British foreign fighter with ISIS in Syria and Iraq Klausen will present her research on the social and behavioral dynamics of extremist radicalization and the pathways to terrorism taken by ‘homegrown” American jihadists. >>Read More Bio: Jytte Klausen, Ph.D. (political science), is the Lawrence A. Wien Professor of International Cooperation at Brandeis University and an Affiliate at the Center for European Studies at Harvard University. >>Read More |
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Computer
Science Department Colloquium BCIs: New patient groups, applications, and issues Speaker: Brendan Allison, Visiting Scholar, Cognitive Science Department, University of California, San Diego When: 11:00AM ~ 11:50AM, October 19, Friday, 2018 Where: CSB130 Contact: Chuck Anderson(Chuck.Anderson@colostate.edu) Abstract: Brain-computer interfaces (BCIs) provide communication without movement. Users instead perform specific mental activities that an electrode cap or other device can detect. Automated tools can translate these activities into messages or commands, providing real-time feedback to the user.>>Read More Bio: Dr. Allison has been active in EEG research for over 20 years, most of which involved brain-computer interface (BCI) systems. He earned his PhD in Cognitive Science in 2003 at UC San Diego, and has since worked with several top researchers and institutes, including Prof. Wolpaw at the New York State Dept of Health, Prof. Polich at The Scripps Research Institute, and Profs. Pfurtscheller and Neuper at Graz University of Technology. He is a Founding Board Member of the BCI Society and editor of the BCI Journal.>>Read More Video |
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ISTeC
Distinguished Lecture in conjunction with the Computer
Science Department and the Electrical and Computer
Engineering Department Seminar Series Laws for Cybersecurity? Speaker: Fred B. Schneider, Eckert Professor of Computer Science, Computer Science, Cornell University When: 11:00AM ~ 11:50AM, October 22, 2018 Where: Morgan Library Event Hall Contact: Indrakshy Ray (Indrakshi.Ray@colostate.edu) Abstract: Cyber-security today is focused largely on defending against known attacks. We learn about the latest attack and find a patch to defend against it. Our defenses thus improve only after they have been successfully penetrated. This is a recipe to ensure some attackers succeed---not a recipe for achieving system trustworthiness. >>Read More Bio: Fred B. Schneider is Samuel B. Eckert Professor of Computer Science at Cornell University. He joined Cornell's faculty in Fall 1978 and served as department chair from 2014-2018, having completed a Ph.D. at Stony Brook University and a B.S. in Engineering at Cornell in 1975.>>Read More |
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Computer
Science Department and Electrical and Computer Engineering
Department Colloquium Security from Tags Speaker: Fred B. Schneider, Eckert Professor of Computer Science, Computer Science, Cornell University When: 9:30AM ~ 10:30AM, Tuesday, October 23 Where: Clark A 202 Contact: Indrakshy Ray (Indrakshi.Ray@colostate.edu) Abstract: Reference monitors generally restrict operation invocation. We discuss an alternative approach to security: enforcing restrictions that labels give about how a value may be used. A new class of reactive information flow (RIF) labels is useful, and we describe a static enforcement scheme. We also discuss run-time enforcement for chains of labels, including results that characterize the trade-off between chain length and permissiveness. >>Read More Bio: Fred B. Schneider is Samuel B. Eckert Professor of Computer Science at Cornell University. He joined Cornell's faculty in Fall 1978 and served as department chair from 2014-2018, having completed a Ph.D. at Stony Brook University and a B.S. in Engineering at Cornell in 1975.>>Read More |
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Computer
Science Department Colloquium To Clearly Show Where No One Has Gone Before: Craft & Story & Science in Writing Speaker: Kristina Quynn, Director, CSU Writes, Faculty in English & Graduate School When: 11:00AM ~ 11:50AM, October 29, 2018 Where: CSB130 Abstract: High-quality and influential scientific articles (i.e., cited) and proposals (i.e., funded) contain many of the same features as high-quality and influential science fiction: specific and engaging characters, unexpected happenings, new understandings, and novel beginnings. >>Read More Bio: Dr. Kristina Quynn is the founding Director of CSU Writes and a faculty member of the English Department and Graduate School at Colorado State University. Through CSU Writes, she works with faculty, postdoc, and graduate student writers from across all colleges and departments at CSU. >>Read More Video |
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Computer
Science Department Colloquium Computing Systems Integrating Silicon Photonics:An Illusion or a Realistic Solution? Speaker: Mahdi Nikdast, Assistant Professor, Department of Electrical and Computer Engineering, Colorado State University When: 11:00AM ~ 11:50AM, November 5, 2018 Where: CSB130 Abstract: Computing systems play an important role in our daily lives. They are continuously scaling, and hence becoming more complicated, to satisfy new applications demands, such as higher computation and communication bandwidth required for big data and machine learning applications.>>Read More Bio: Mahdi Nikdast is an Assistant Professor in the Department of Electrical and Computer Engineering at Colorado State University (CSU). He received his Ph.D. in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2014. After his Ph.D., he started a Postdoctoral at Polytechnique Montreal and in collaboration with McGill University in Montreal, Canada.>>Read More Video |
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Computer
Science Department Colloquium Creating a National Wireless Research Testbed Speaker: Craig Partridge, Professor & Department Chair, Computer Science Department, Colorado State University When: 11:00AM ~ 11:50AM, November 26, 2018 Where: CSB130 Abstract: Imagine that on the campuses of 200 universities it was possible to experiment with new wireless protocols, on almost any radio frequency you wanted, without getting a license. Further imagine that any grad student could have a fully programmable experimental radio with which to conduct those experiments and that it was possible to buy more radios at a reasonable cost. For the past few years I've been working to make that vision a reality and in the past year I've been part of a team funded by NSF to plan our way towards the vision. In this talk I'll present the vision, how to make it reality, and discuss some of the research innovations we expect such a testbed might enable. Bio: Dr. Craig Partridge is chair of the department of Computer Science at Colorado State University. Before he came to CSU, he was chief scientist for networking research at Raytheon BBN Technologies. Craig is a Fellow of the IEEE and ACM, a former chair of ACM SIGCOMM, and a member of the Internet Hall of Fame. Video |
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Computer
Science Department Colloquium Revisiting Alpha and its Semantics Speaker: Patrice Quinton, Patrice Quinton, Professor Emeritus, Ecole normale supérieure de Rennes, France (joint work with Tomofumi Yuki, INRIA researcher, Rennes) When: 11:00AM ~ 11:50AM, December 3, 2018 Where: CSB130 Contact: Sanjay Rajopadhye (Sanjay.Rajopadhye@ColoState.EDU) Abstract: Alpha was designed in 1989 by Christophe Mauras to represent affine recurrence equations and to model the process of parallel architecture synthesis. Alpha is a specialized functional language, where computations are represented as fonctions on polyhedral domains. Alpha has been the basis of research on the so-called polyhedral model, both at IRISA Rennes, and at CSU by Prof. Rajopadhye’s research group. Prototype tools — MMAlpha in Rennes, Alphaz at CSU — were developed to target the generation of parallel code or the synthesis of parallel circuits. In this talk, I will present ongoing research aiming at revisiting the semantics of Alpha, in particular, concerning the structuration of the language using subsystems of equations. The goal of this research is to provide good foundations to the design of parallel programs or architectures using structured approaches using Alpha. Bio: Patrice Quinton is Professor Emeritus at Ecole normale supérieure de Rennes (France), and member of IRISA. Former professor at Université de Rennes 1, and CNRS research director, he has been heading ENS Rennes from 2004 to 2015. His research interests are parallel architectures and high-level synthesis of hardware. |
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Computer
Science Department Colloquium Rate Adaptive Wide Area Networks Speaker: Rachee Singh, PhD Student, Computer Science, UMASS Amherst When: 12:00PM ~ 1:00PM, December 3, 2018 Where: CSB130 Contact: Craig Partridge (Craig.Partridge@colostate.edu) Abstract: Fiber optic cables connecting data centers are an expensive but important resource for large organizations. Their importance has driven a conservative deployment approach, with redundancy and reliability baked in at multiple layers. In this work, we take a more aggressive approach and argue for adapting the capacity of fiber optic links based on their signal-to-noise ratio (SNR). We investigate this idea by analyzing the SNR of over 8,000 links in an optical backbone for a period of three years. We show that the capacity of 64% of 100 Gbps IP links can be augmented by at least 75 Gbps. Moreover, adapting link capacity to a lower rate can prevent up to 25% of link failures. Our analysis shows that using the same links, we get higher capacity, better availability, and 32% lower cost per gigabit per second. To accomplish this, we propose Rate Adaptive WAN (RADWAN), a traffic engineering system that allows optical links to adapt their rate based on the observed SNR to achieve higher throughput and availability while minimizing the churn during capacity reconfigurations. We evaluate RADWAN using a testbed consisting of 1,540 km fiber with 16 amplifiers and attenuators. We then simulate the throughput gains of RADWAN at scale and compare them to the gains of state-of-the-art traffic engineering systems. Our data-driven simulations show that RADWAN improves the overall network throughput by 40% while also improving the average link availability. Web Page: http://www.racheesingh.com |
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Computer
Science Department Colloquium CS793 Rapid Fire Presentation Speakers: CS793 Graduate Students When: 11:00AM ~ 11:50AM, Dec 7, 2018 Where: CSB130 |