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melange:schedule:spring2018

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Schedule : Spring 2018

This is the tentative schedule of Mélange group for the Spring 2018 semester.

Meet time & Place : Wednesdays 10:00 AM - 11:00 AM @ CSB 305

WEEK DATE TOPIC PRESENTER
0 01/17/2018 SPX proposal : PARRIC Sanjay Rajopadhye
1 01/24/2018 Execution time models Fabrice Rastello
2 01/31/2018 - Sanjay Rajopadhye
3 02/07/2018 Prerana Ghalsasi
4 02/14/2018 TBD Swetha Varadarajan
5 02/21/2018 TBD
6 02/28/2018 TBD
7 03/07/2018 TBD
8 03/14/2018 SPRING BREAK
9 03/21/2018 TBD
10 03/28/2018 TBD
11 04/04/2018 TBD
12 04/11/2018 TBD
13 04/18/2018 TBD
14 04/25/2018 TBD
15 05/02/2018 TBD
16 05/09/2018 TBD

Reading Pool

Publications

2017
  • Y. H. Chen, T. Krishna, J. S. Emer, V. Sze, Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks, 2017
  • William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather, Minimizing the Cost of Iterative Compilation with Active Learning, 2017
  • Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather, Synthesizing benchmarks for predictive modeling, 2017
  • Johannes Doerfert, Tobias Grosser, Sebastian Hack, Optimistic Loop Optimization, 2017
2016
  • Wlodzimierz Bielecki, Marek Pa lkowski, Tiling Arbitrarily Nested Loops by Means of the Transitive, 2016
  • Wenlei Bao, Changwan Hong, Sudheer Chunduri, Sriram Krishnamoorthy, Louis-Noel Pouchet, Fabrice Rastello, P. Sadayappan, Static and Dynamic Frequency Scaling on Multicore CPUs, 2016
  • Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling, John M. Dennis, Sheri A. Mickelson, Elizabeth R. Jessup, Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations, 2016
  • Audrunas Gruslys, R{ '{e}}mi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves, Memory-Efficient Backpropagation Through Time, 2016
  • U. Bondhugula, V. Bandishti, I. Pananilath, Diamond Tiling: Tiling Techniques to Maximize Parallelism for Stencil Computations, 2016
2015
  • T. Nowatzki, J. Menon, C. H. Ho, K. Sankaralingam, Architectural Simulators Considered Harmful, 2015
  • J. D. Garvey, T. S. Abdelrahman, Automatic Performance Tuning of Stencil Computations on GPUs, 2015
  • Eric Chung Kalin Ovtcharov, Accelerating Deep Convolutional Neural Networks Using Specialized Hardware, 2015
  • Protonu Basu, Mary Hall, Samuel Williams, Brian Van Straalen, Leonid Oliker, Phillip Colella, Compiler-Directed Transformation for Higher-Order Stencils, 2015
2014
  • Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger, A Reconfigurable Fabric for Accelerating Large-scale Datacenter Services, 2014
  • Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer, cuDNN: Efficient Primitives for Deep Learning, 2014
2013
  • Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-No “{e}l Pouchet, P. Sadayappan, When Polyhedral Transformations Meet SIMD Code Generation, 2013
  • Louis-Noel Pouchet, Peng Zhang, P. Sadayappan, Jason Cong, Polyhedral-based Data Reuse Optimization for Configurable Computing, 2013
2012
  • Sven Verdoolaege, Gerda Janssens, Maurice Bruynooghe, Equivalence Checking of Static Affine Programs Using Widening to Handle Recurrences, 2012
  • Vinayaka Bandishti, Irshad Pananilath, Uday Bondhugula, Tiling Stencil Computations to Maximize Parallelism, 2012
2011
  • Henry Wong, Vaughn Betz, Jonathan Rose, Comparing FPGA vs. Custom Cmos and the Impact on Processor Microarchitecture, 2011
2010
  • M.-W. Benabderrahmane, L.-N. Pouchet, Cohen A., C. Bastoul, The Polyhedral Model Is More Widely Applicable Than You Think, 2010
2008
  • Andrew R. Putnam, Dave Bennett, Eric Dellinger, Jeff Mason, Prasanna Sundararajan, CHiMPS: A High-level Compilation Flow for Hybrid CPU-FPGA Architectures, 2008
  • Vasily Volkov, James W. Demmel, Benchmarking GPUs to Tune Dense Linear Algebra, 2008
2007
  • Milind Kulkarni, Keshav Pingali, Bruce Walter, Ganesh Ramanarayanan, Kavita Bala, L. Paul Chew, Optimistic Parallelism Requires Abstractions, 2007
2006
  • Paul Feautrier, Scalable and Structured Scheduling, 2006
2001
  • Steven J. Deitz, Bradford L. Chamberlain, Lawrence Snyder, Eliminating Redundancies in Sum-of-product Array Computations, 2001
2000
  • Martin Griebl, Paul Feautrier, Christian Lengauer, Index Set Splitting, 2000
1997
  • J-F. Collard, D. Barthou, P. Feautrier, Fuzzy Array Data Flow Analysis, 1997
1994
  • J. Cong, Yuzheng Ding, FlowMap: an optimal technology mapping algorithm for delay optimization in lookup-table based FPGA designs, 1994
1992
  • Paul Feautrier, Some Efficient Solutions to the Affine Scheduling Problem {Part II}. Multidimensional Time, 1992
  • Paul Feautrier, Some Efficient Solutions to the Affine Scheduling Problem {Part I}. One-dimensional Time, 1992
1991
  • P. Feautrier, Dataflow analysis of array and scalar references, 1991
1989
  • Patrice Quinton, Vincent van Dongen, The mapping of linear recurrence equations on regular arrays, 1989
  • D. Baxter, R. Mirchandaney, J. H. Saltz, Run-time Parallelization and Scheduling of Loops, 1989
1988
  • F. Irigoin, R. Triolet, Supernode Partitioning, 1988
1986
  • Sanjay V. Rajopadhye, S. Purushothaman, Richard Fujimoto, On Synthesizing Systolic Arrays from Recurrence Equations with Linear Dependencies, 1986
melange/schedule/spring2018.1518122777.txt.gz · Last modified: 2018/02/08 13:46 by prerana