Document Open Access Logo

Hardware-Software Co-Design: Not Just a Cliché

Authors Adrian Sampson, James Bornholt, Luis Ceze

PDF
Thumbnail PDF

File

LIPIcs.SNAPL.2015.262.pdf
  • Filesize: 289 kB
  • 12 pages

Document Identifiers

Author Details

Adrian Sampson
James Bornholt
Luis Ceze

Cite AsGet BibTex

Adrian Sampson, James Bornholt, and Luis Ceze. Hardware-Software Co-Design: Not Just a Cliché. In 1st Summit on Advances in Programming Languages (SNAPL 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 32, pp. 262-273, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
https://doi.org/10.4230/LIPIcs.SNAPL.2015.262

Abstract

The age of the air-tight hardware abstraction is over. As the computing ecosystem moves beyond the predictable yearly advances of Moore's Law, appeals to familiarity and backwards compatibility will become less convincing: fundamental shifts in abstraction and design will look more enticing. It is time to embrace hardware-software co-design in earnest, to cooperate between programming languages and architecture to upend legacy constraints on computing. We describe our work on approximate computing, a new avenue spanning the system stack from applications and languages to microarchitectures. We reflect on the challenges and successes of approximation research and, with these lessons in mind, distill opportunities for future hardware-software co-design efforts.
Keywords
  • approximation
  • co-design
  • architecture
  • verification

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
    0
    Metadata Views

References

  1. Anant Agarwal, Martin Rinard, Stelios Sidiroglou, Sasa Misailovic, and Henry Hoffmann. Using code perforation to improve performance, reduce energy consumption, and respond to failures. Technical report, MIT, 2009. Google Scholar
  2. Mark Aiken, Manuel Fähndrich, Chris Hawblitzel, Galen Hunt, and James Larus. Deconstructing process isolation. In Workshop on Memory System Performance and Correctness (MSPC), 2006. Google Scholar
  3. J. Bachrach, Huy Vo, B. Richards, Yunsup Lee, A. Waterman, R. Avizienis, J. Wawrzynek, and K. Asanovic. Chisel: Constructing hardware in a Scala embedded language. In DAC, June 2012. Google Scholar
  4. James Bornholt, Todd Mytkowicz, and Kathryn S. McKinley. Uncertain<T>: A First-Order Type for Uncertain Data. In ASPLOS, 2014. Google Scholar
  5. Michael Carbin, Deokhwan Kim, Sasa Misailovic, and Martin C. Rinard. Proving acceptability properties of relaxed nondeterministic approximate programs. In PLDI, 2012. Google Scholar
  6. Michael Carbin, Sasa Misailovic, and Martin C. Rinard. Verifying quantitative reliability for programs that execute on unreliable hardware. In OOPSLA, 2013. Google Scholar
  7. Lakshmi N. Chakrapani, Bilge E. S. Akgul, Suresh Cheemalavagu, Pinar Korkmaz, Krishna V. Palem, and Balasubramanian Seshasayee. Ultra-efficient (embedded) SOC architectures based on probabilistic CMOS (PCMOS) technology. In DATE, 2006. Google Scholar
  8. Byn Choi, Rakesh Komuravelli, Hyojin Sung, Robert Smolinski, Nima Honarmand, Sarite V. Adve, Vikram S. Adve, Nicholas P. Carter, and Ching-Tsun Chou. DeNovo: Rethinking the memory hierarchy for disciplined parallelism. In International Conference on Parallel Architectures and Compilation Techniques (PACT), 2011. Google Scholar
  9. Joel Coburn, Adrian M. Caulfield, Ameen Akel, Laura M. Grupp, Rajesh K. Gupta, Ranjit Jhala, and Steven Swanson. NV-Heaps: Making persistent objects fast and safe with next-generation, non-volatile memories. In ASPLOS, 2011. Google Scholar
  10. M. de Kruijf and K. Sankaralingam. Exploring the synergy of emerging workloads and silicon reliability trends. In SELSE, 2009. Google Scholar
  11. Marc de Kruijf, Shuou Nomura, and Karthikeyan Sankaralingam. Relax: an architectural framework for software recovery of hardware faults. In ISCA, 2010. Google Scholar
  12. Martin M. Deneroff, David E. Shaw, Ron O. Dror, Jeffrey S. Kuskin, Richard H. Larson, John K. Salmon, and Cliff Young. Anton: A specialized ASIC for molecular dynamics. In Hot Chips, 2008. Google Scholar
  13. Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, and Doug Burger. Architecture support for disciplined approximate programming. In International Conference on Architectural Support for Programming Languages and Operating Systems, 2012. Google Scholar
  14. Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, and Doug Burger. Neural Acceleration for General-Purpose Approximate Programs. In International Symposium on Microarchitecture (MICRO), 12 2012. Google Scholar
  15. N. Foster, A. Guha, M. Reitblatt, A. Story, M.J. Freedman, N.P. Katta, C. Monsanto, J. Reich, J. Rexford, C. Schlesinger, D. Walker, and R. Harrison. Languages for software-defined networks. Communications Magazine, IEEE, 51(2):128-134, February 2013. Google Scholar
  16. Michael I. Gordon, William Thies, Michal Karczmarek, Jasper Lin, Ali S. Meli, Andrew A. Lamb, Chris Leger, Jeremy Wong, Henry Hoffmann, David Maze, and Saman Amarasinghe. A stream compiler for communication-exposed architectures. In ASPLOS, 2002. Google Scholar
  17. Beayna Grigorian and Glenn Reinman. Improving coverage and reliability in approximate computing using application-specific, light-weight checks. In Workshop on Approximate Computing Across the System Stack (WACAS), 2014. Google Scholar
  18. Rehan Hameed, Wajahat Qadeer, Megan Wachs, Omid Azizi, Alex Solomatnikov, Benjamin C. Lee, Stephen Richardson, Christos Kozyrakis, and Mark Horowitz. Understanding sources of inefficiency in general-purpose chips. In ISCA, 2010. Google Scholar
  19. Sudheendra Hangal, Durgam Vhia, Chaiyasit Manovit, Jiun-Weu Joseph Lu, and Sridhar Narayanan. TSOtool: A program for verifying memory systems using the memory consistency model. In 31st Annual International Symposium on Computer Architecture (ISCA), 2004. Google Scholar
  20. James Hegarty, John Brunhaver, Zachary DeVito, Jonathan Ragan-Kelley, Noy Cohen, Steven Bell, Artem Vasilyev, Mark Horowitz, and Pat Hanrahan. Darkroom: Compiling high-level image processing code into hardware pipelines. ACM Trans. Graph., 33(4), 2014. Google Scholar
  21. Galen Hunt, Mark Aiken, Manuel Fähndrich, Chris Hawbliztel, Orion Hodson, James Larus, Steven Levi, Bjarne Steensgaard, David Tarditi, and Ted Wobber. Sealing OS processes to improve dependability and safety. In EuroSys, 2007. Google Scholar
  22. Galen Hunt and James Larus. Singularity: Rethinking the software stack. In 21st ACM Symposium on Operating System Principles (SOSP), 2007. Google Scholar
  23. Rajesh K. Karmani, P. Madhusudan, and Brandon M. Moore. Thread contracts for safe parallelism. In 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2011. Google Scholar
  24. Gerwin Klein, Kevin Elphinstone, Gernot Heiser, June Andronick, David Cock, Philip Derrin, Dhammika Elkaduwe, Kai Engelhardt, Rafal Kolanski, Michael Norrish, Thomas Sewell, Harvey Tuch, and Simon Winwood. seL4: Formal Verification of an OS Kernel. In 22nd ACM Symposium on Operating Systems Principles (SOSP), 2009. Google Scholar
  25. Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. Jacobson, and Subhasish Mitra. ERSA: error resilient system architecture for probabilistic applications. In DATE, 2010. Google Scholar
  26. Song Liu, Karthik Pattabiraman, Thomas Moscibroda, and Benjamin G. Zorn. Flikker: Saving refresh-power in mobile devices through critical data partitioning. In ASPLOS, 2011. Google Scholar
  27. Joshua San Miguel, Mario Badr, and Natalie Enright Jerger. Load value approximation. In MICRO, 2014. Google Scholar
  28. Sasa Misailovic, Stelios Sidiroglou, Hank Hoffman, and Martin Rinard. Quality of service profiling. In ICSE, 2010. Google Scholar
  29. Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, and Mark Oskin. SNNAP: Approximate computing on programmable SoCs via neural acceleration. In HPCA, 2015. Google Scholar
  30. Sriram Narayanan, John Sartori, Rakesh Kumar, and Douglas L. Jones. Scalable stochastic processors. In DATE, 2010. Google Scholar
  31. Rishiyur S. Nikhil and Arvind. What is bluespec? SIGDA Newsl., 39(1):1-1, January 2009. Google Scholar
  32. Steven Pelley, Peter M. Chen, and Thomas F. Wenisch. Memory persistency. In ISCA, 2014. Google Scholar
  33. Phitchaya Mangpo Phothilimthana, Tikhon Jelvis, Rohin Shah, Nishant Totla, Sarah Chasins, and Rastislav Bodik. Chlorophyll: Synthesis-aided compiler for low-power spatial architectures. In PLDI, 2014. Google Scholar
  34. Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, and Saman Amarasinghe. Halide: A language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines. In PLDI, 2013. Google Scholar
  35. Martin Rinard, Henry Hoffmann, Sasa Misailovic, and Stelios Sidiroglou. Patterns and statistical analysis for understanding reduced resource computing. In Onward!, 2010. Google Scholar
  36. Michael Ringenburg, Adrian Sampson, Isaac Ackerman, Luis Ceze, and Dan Grossman. Monitoring and debugging the quality of results in approximate programs. In ASPLOS, 2015. Google Scholar
  37. Tiark Rompf and Martin Odersky. Lightweight modular staging: A pragmatic approach to runtime code generation and compiled DSLs. In GPCE, 2012. Google Scholar
  38. A. Sampson, W. Dietl, E. Fortuna, D. Gnanapragasam, L. Ceze, and D. Grossman. EnerJ: Approximate data types for safe and general low-power computation. In PLDI, 2011. Google Scholar
  39. Adrian Sampson, Calin Cascaval, Luis Ceze, Pablo Montesinos, and Dario Suarez Gracia. Automatic discovery of performance and energy pitfalls in html and css. In IISWC, 2012. Google Scholar
  40. Adrian Sampson, Jacob Nelson, Karin Strauss, and Luis Ceze. Approximate storage in solid-state memories. In MICRO, 2013. Google Scholar
  41. Adrian Sampson, Pavel Panchekha, Todd Mytkowicz, Kathryn McKinley, Dan Grossman, and Luis Ceze. Expressing and Verifying Probabilistic Assertions. In PLDI, 2014. Google Scholar
  42. Susmit Sarkar, Peter Sewell, Francesco Zappa Nardelli, Scott Owens, Tom Ridge, Thomas Braibant, Magnus O. Myreen, and Jade Alglave. The semantics of x86-CC multiprocessor machine code. In 36th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), 2009. Google Scholar
  43. Renée St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, and Doug Burger. General-purpose code acceleration with limited-precision analog computation. In ISCA, 2014. Google Scholar
  44. Arvind K. Sujeeth, Kevin J. Brown, Hyoukjoong Lee, Tiark Rompf, Hassan Chafi, Martin Odersky, and Kunle Olukotun. Delite: A compiler architecture for performance-oriented embedded domain-specific languages. ACM Trans. Embed. Comput. Syst., 13(4s), 2014. Google Scholar
  45. Nikolai Tillmann, Michal Moskal, Jonathan de Halleux, and Manuel Fahndrich. Touchdevelop: Programming cloud-connected mobile devices via touchscreen. In Onward!, 2011. Google Scholar
  46. Emina Torlak, Mandana Vaziri, and Julian Dolby. MemSAT: Checking axiomatic specifications of memory models. In ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2010. Google Scholar
  47. Swagath Venkataramani, Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, and Anand Raghunathan. Quality programmable vector processors for approximate computing. In MICRO, 2013. Google Scholar
  48. Haris Volos, Andres Jaan Tack, and Michael M. Swift. Mnemosyne: Lightweight persistent memory. In ASPLOS, 2011. Google Scholar
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact