Weekly Schedule
| Week 1 8/19-8/23 | Lecture Topic | Assignment | |
|---|---|---|---|
| Mon | Course Introduction | Welcome! B. Dally et. al Domain-Specific Hardware Accelerators Comm of the ACM 2020 | |
| Weds | Technology Trends Review | Review from Chapter 1 Computer Architecture: A Quantitative Approach, Hennessy and Patterson | |
| Fri | Moore’s Law, Dennard Scaling Review | Reading: Cramming more components onto integrated circuits | |
| Week 2 8/26-8/30 | Lecture Topic | Assignment | |
| Mon | Finish review on Parallelism, Flynn’s Taxonomy | Reading: | |
| Weds | General Purpose Processors and the Virtuous Cycle | Reading: N. Thompson, S. Spanuth The decline of computers as a general purpose technology A. Fuchs, D. Wentzlaff The Accelerator Wall: Limits of Chip Specialization, | |
| Fri | General Purpose Processors and the Virtuous Cycle | Reading: N. Thompson, S. Spanuth The decline of computers as a general purpose technology A. Fuchs, D. Wentzlaff The Accelerator Wall: Limits of Chip Specialization, | |
| Week 3 9/2-9/6 | Lecture Topic | Assignment | |
| Mon | Labor Day | ||
| Weds | Processor In Memory Architectures | Reading: K. Asi Fuzzaman et. al. A Survey on processing-in-memory techniques: Advances and challenges | |
| Fri | Processor In Memory Architectures | Reading: K. Asi Fuzzaman et. al. A Survey on processing-in-memory techniques: Advances and challenges | |
| Week 4 9/9-9/13 | Lecture Topic | Assignment | |
| Mon | Tutorial on Memory-Centric Computing | Read Computational Power and AI | |
| Weds | Machine Learning Boot Camp | Reading: H&P Comp Arch: a Quant. Approach Ch 7.3-4 Optional: Implications of Makimoto’s Wave T. Makimoto | |
| Fri | Machine Learning Boot Camp | Reading: H&P Comp Arch: a Quant. Approach Ch 7.3-4 Optional: Implications of Makimoto’s Wave T. Makimoto | |
| Week 5 9/16-9/20 | Lecture Topic | Assignment | |
| Mon | Introduction to the Roofline Model | Roofline: an insightful visual performance model for multicore architectures](https://dl.acm.org/doi/10.1145/1498765.1498785) S. Williams et. al. | |
| Weds | In-Datacenter Performance Analysis of a Tensor Processing Unit | In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi et. al Roofline: an insightful visual performance model for multicore architecturesS. Williams et. al. | |
| Fri | In-Datacenter Performance Analysis of a Tensor Processing Unit | In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi et. al. | |
| Week 6 9/23-9/27 | Lecture Topic | Assignment | |
| Mon | In-Datacenter Performance Analysis of a Tensor Processing Unit | In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi et. al. | |
| Weds | Paper Selection/Team Formations | ||
| Fri | Presentation Outline | ||
| Week 7 9/30-10/4 | Lecture Topic | Assignment | |
| Mon | Presentation Style/Team Formations | ||
| Weds | |||
| Fri | PIM Technologies | Accelerating Neural Network Inference with Processing-in-DRAM:From the Edge to the CloudG. Oliveira et. al.,extended and updated version of a paper published in IEEE Micro, pp. 1-14, 29 Aug. 2022. | |
| Week 8 10/7-10/11 | Lecture Topic | Assignment | |
| Mon | Bit Serial Arithmetic | Accelerating Neural Network Inference with Processing-in-DRAM:From the Edge to the CloudG. Oliveira et. al.,extended and updated version of a paper published in IEEE Micro, pp. 1-14, 29 Aug. 2022. | |
| Weds | Processing in DRAM | Accelerating Neural Network Inference with Processing-in-DRAM:From the Edge to the CloudG. Oliveira et. al.,extended and updated version of a paper published in IEEE Micro, pp. 1-14, 29 Aug. 2022. | |
| Fri | UPMEM | Accelerating Neural Network Inference with Processing-in-DRAM:From the Edge to the CloudG. Oliveira et. al.,extended and updated version of a paper published in IEEE Micro, pp. 1-14, 29 Aug. 2022. | |
| Week 9 10/14-10/18 | Lecture Topic | Assignment | |
| Mon | Fall Break | ||
| Weds | Stephanie,Abe,Nathaniel | Y. Chen and M. S. Abdelfattah, “BRAMAC: Compute-in-BRAM Architectures for Multiply-Accumulate on FPGAs,” 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Marina Del Rey, CA, USA, 2023, pp. 52-62, doi: 10.1109/FCCM57271.2023.00015. | |
| Fri | Nick,Karis,Kyle,Case | J. Choquette, W. Gandhi, O. Giroux, N. Stam, and R. Krashinsky,NVIDIA A100 Tensor Core GPU: Performance and Innovation IEEE Micro Volume: 41, Issue: 2, 01 March-April 2021 | |
| Week 10 10/21-10/25 | Lecture Topic | Assignment | |
| Mon | UPMEM | The true Processor in Memory AcceleartorF. Devaux, IEEE Hot Chips 31 Symposium (HCS) 2019 | |
| Weds | Marvin,Jeff,Dhruv | J.D. Kendall, S. Kumar The building blocks of a brain-inspired computer Appl. Phys. Rev. 1 March 2020; 7 (1): 011305. | |
| Fri | Thomas,Matthew,Stephen | J. Vasiljevic, D. Capalija Blackhole & TT-Mealium: The Standalone AI Computer and its Programming Model Proceedings of the 2024 IEEE Hot Chips 36 Symposium (HCS) | |
| Week 11 10/28-11/1 | Lecture Topic | Assignment | |
| Mon | Emerging NVMs | ||
| Weds | Nicholas,Donna,Ogden | Sean Lie Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning IEEE Micro Volume: 43, Issue: 3, May-June 2023 | |
| Fri | Grant,Gideon,Henry | D. Brooks et. al RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Proceedings of the 47th ACM/IEEE International Symposium on Computer Architecture (ISCA) Valencia, Spain, 2020, pp. 790-803, doi: 10.1109/ISCA45697.2020.00070. | |
| Week 12 11/4-11/8 | Lecture Topic | Assignment | |
| Mon | Emerging NVMs | ||
| Weds | DRAM PIM | Memory-Centric Computing with SK hynix’s Domain-Specific Memory 2023 Y. Kwon et. al.,IEEE Hot Chips 35 Symposium (HCS) 2023 | |
| Fri | PUM | In Memory Intelligence Tim Finkbeiner et. al., IEEE Micro Volume: 37, Issue: 4, 2017 | |
| Week 13 11/11-11/15 | Lecture Topic | Assignment | |
| Mon | |||
| Weds | Stephanie,Abe,Nathaniel | Amam Arora et. al. CoMeFa: Compute-in-Memory Blocks for FPGAsProceedings of the IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) May 2022 | |
| Fri | Nick,Karis,Kyle,Case | T. Finkbeiner et. al. In-Memory Intelligence IEEE Micro Volume: 37, Issue: 4, 2017 | |
| Week 14 11/18-11/22 | Lecture Topic | Assignment | |
| Mon | |||
| Weds | Marvin,Jeff,Dhruv | Murali Emani et. al. Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture Computing in Science & Engineering ( Volume: 23, Issue: 2, 01 March-April 2021) | |
| Fri | Thomas,Matthew,Stephen | Norman Jouppi et. al. Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product Proceedings of the 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA) | |
| Week 15 11/25-11/29 | Lecture Topic | Assignment | |
| Mon | |||
| Weds | Thanksgiving Break! | ||
| Fri | Thanksgiving Break! | ||
| Week 16 12/2-12/6 | Lecture Topic | Assignment | |
| Mon | Nicholas,Donna,Ogden | Mingyi Rao et. al. Thousands of conductance levels in memristors integrated on CMOS Nature, Vol 615, 30 March 2023 | |
| Weds | Grant,Gideon,Henry | Emil Talpes et. al. Compute Solution for Tesla’s Full Self-Driving Computer IEEE Micro Volume 40, Issue 2, 01 March-April 2020 | |
| Fri | Reading Day | ||
| Final 12/11 | **10:15pm - 12:15pm ** | Final is not comprehensive |