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Readings

Post your paper reviews for the papers marked [Review Required] on the paper review site . The expectations for these reviews are described in Recitation 1. You can view reviews by other students only after the deadline.

Recitation 1

Review Set 1 due (3 PM)

  1. Onur Mutlu and Lavanya Subramanian, Research Problems and Opportunities in Memory Systems, Invited Article in Supercomputing Frontiers and Innovations (SUPERFRI), 2015. [Review Required]
  2. Onur Mutlu, Rethinking the Systems We Design, Technical talk at A Computer Architecture Workshop: Visions for the Future (Celebrating Yale@75) (YALE@75), Austin, TX, September 2014 [Review Required]
  3. Junwhan Ahn et al., A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing, Proceedings of the 42nd International Symposium on Computer Architecture (ISCA), Portland, OR, June 2015. [Optional]
  4. Vivek Seshadri et al., Fast Bulk Bitwise AND and OR in DRAM, IEEE Computer Architecture Letters (CAL), April 2015. [Review Required]

Optional Readings Mentioned in Lecture

  1. Smith, Task of the Referee, IEEE Computer 1990.
  2. Thomas Moscibroda and Onur Mutlu, Memory Performance Attacks: Denial of Memory Service in Multi-Core Systems, Proceedings of the 16th USENIX Security Symposium (USENIX SECURITY), pages 257-274, Boston, MA, August 2007.

Recitation 2

Review Set 2 due (3 PM)

  1. Junwhan Ahn, Sungpack Hong, Sungjoo Yoo, Onur Mutlu, and Kiyoung Choi, A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing, Proceedings of the 42nd International Symposium on Computer Architecture(ISCA), Portland, OR, June 2015. [Review Required]
  2. Stephen W. Keckler, William J. Dally, Brucek Khailany, Michael Garland, David Glasco, GPUs and the Future of Parallel Computing, IEEE Micro 2011. [Review Required]
  3. Jeffrey D. Ullman, Experiments as Research Validation: Have We Gone Too Far?, CACM 2015. [Review Required]
  4. Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita Das, Mahmut Kandemir, Todd C. Mowry, and Onur Mutlu, A Case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling Flexible Data Compression with Assist Warps, Proceedings of the 42nd International Symposium on Computer Architecture (ISCA), Portland, OR, June 2015. [Review Required]

Optional Readings Mentioned in Lecture

  1. Moore, Cramming more components onto integrated circuits, Electronics Magazine, 1965.
  2. Junwhan Ahn, Sungjoo Yoo, Onur Mutlu, and Kiyoung Choi, PIM-Enabled Instructions: A Low-Overhead, Locality-Aware Processing-in-Memory Architecture, Proceedings of the 42nd International Symposium on Computer Architecture (ISCA), Portland, OR, June 2015.
  3. Nickolls and Dally, The GPU Computing Era , IEEE Micro 2010.