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| start [2024/10/28 08:50] – [Tutorial Materials] geraldod | start [2024/11/02 20:52] (current) – [Tutorial Materials] mnika |
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| ^ Time ^ Speaker ^ Title ^ Materials ^ | ^ Time ^ Speaker ^ Title ^ Materials ^ |
| | 01:00pm-01:30pm | Prof. Onur Mutlu / Geraldo F. Oliveira | Memory-Centric Computing |{{|(PDF)}} {{|(PPT)}}| | | 01:00pm-01:30pm | Prof. Onur Mutlu / Geraldo F. Oliveira | Memory-Centric Computing |{{geraldo-micro24-lecture1-memory-centric-computing-beforelecture.pdf|(PDF)}} {{geraldo-micro24-lecture1-memory-centric-computing-beforelecture.pptx|(PPT)}}| |
| | 01:30pm-02:00pm | Geraldo F. Oliveira | Processing-Near-Memory Systems: Academia & Industry Developments | {{|(PDF)}} {{|(PPT)}}| | | 01:30pm-02:00pm | Geraldo F. Oliveira | Processing-Near-Memory Systems: Developments fro Academia & Industry | {{geraldo-micro24-lecture2-processing-near-memory-beforelecture.pdf|(PDF)}} {{geraldo-micro24-lecture2-processing-near-memory-beforelecture.pptx|(PPT)}}| |
| | 02:00pm-02:30pm | [[https://brian-schwedock.github.io/|Dr. Brian Schwedock]] | Architectures and Programming Models for General-Purpose Near-Data Computing | {{|(PDF)}} {{|(PPT)}}| | | 02:00pm-02:30pm | [[https://brian-schwedock.github.io/|Dr. Brian Schwedock]] | Architectures and Programming Models for General-Purpose Near-Data Computing | {{2024.pim-micro.ndc.pdf|(PDF)}} {{2024.pim-micro.ndc.pptx|(PPT)}}| |
| | 02:30pm-03:00pm | Geraldo F. Oliveira | Processing-Using-Memory Systems for Bulk Bitwise Operations |{{|(PDF)}} {{|(PPT)}}| | | 02:30pm-03:00pm | Geraldo F. Oliveira | Processing-Using-Memory Systems for Bulk Bitwise Operations |{{geraldo-micro24-lecture3-processing-using-memory-beforelecture.pdf|(PDF)}} {{geraldo-micro24-lecture3-processing-using-memory-beforelecture.pptx|(PPT)}}| |
| | 03:00pm-03:30pm | N/A | Coffee Break | | | | 03:00pm-03:30pm | N/A | Coffee Break | | |
| | 03:30pm-03:30pm | Ataberk Olgun | Infrastructure for Processing-Using-Memory Research |{{|(PDF)}} {{|(PPT)}}| | | 03:30pm-04:00pm | Ataberk Olgun | Infrastructure for Processing-Using-Memory Research |{{2024_micro_pim_tutorial_dram_pum_infrastructure.pdf|(PDF)}} {{2024_micro_pim_tutorial_dram_pum_infrastructure.pptx|(PPT)}}| |
| | 04:00pm-04:30pm | [[https://cgiannoula.github.io/|Dr. Christina Giannoula]] | System Software and Libraries for Sparse Computational Kernels in PIM Architectures | {{|(PDF)}} {{|(PPT)}}| | | 04:00pm-04:30pm | [[https://cgiannoula.github.io/|Dr. Christina Giannoula]] | System Software and Libraries for Sparse Computational Kernels in PIM Architectures | {{sparselibraries_pim.pdf|(PDF)}} {{sparselibraries_pim.pptx|(PPT)}}| |
| | 04:30pm-05:30pm | Nika Mansouri Ghiasi | Storage-Centric Computing for Genomics and Metagenomics |{{|(PDF)}} {{|(PPT)}}| | | 04:30pm-05:00pm | Nika Mansouri Ghiasi | Storage-Centric Computing for Genomics and Metagenomics |{{pim-tutorial-micro24-nika-v2.pdf|(PDF)}} {{pim-tutorial-micro24-nika-v2.pptx|(PPT)}}| |
| | 05:00pm | Geraldo F. Oliveira | Research Challenges for PIM & Closing Remarks |{{|(PDF)}} {{|(PPT)}}| | | 05:00pm | Geraldo F. Oliveira | Research Challenges for PIM & Closing Remarks |{{geraldo-micro24-lecture4-adoption-programmability-beforelecture.pdf|(PDF)}} {{geraldo-micro24-lecture4-adoption-programmability-beforelecture.pptx|(PPT)}}| |
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| ==== Invited Speakers ==== | ==== Invited Speakers ==== |
| **Talk Title:** System Software and Libraries for Sparse Computational Kernels in PIM Architectures{{ ::christina_headshot.jpg?nolink&200|}} | **Talk Title:** System Software and Libraries for Sparse Computational Kernels in PIM Architectures{{ ::christina_headshot.jpg?nolink&200|}} |
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| **Talk Abstract:** | **Talk Abstract:** Processing-In-Memory (PIM) offers a promising solution to alleviate the data movement bottleneck between memory and processors. Several manufacturers have already started to commercialize PIM architectures, providing significant performance and energy improvements for memory-intensive workloads. This talk will explore how specialized libraries and system software can unlock the potential of PIM architectures. I will first present SparseP, the first comprehensive Sparse Matrix Vector Multiplication (SpMV) library for real-world PIM systems. SparseP explores various parallelization strategies, load balancing, and synchronization techniques across thousands of PIM cores, offering insights into performance and energy efficiency benefits. Then, I will briefly introduce PyGim, a novel Graph Neural Network (GNN) library tailored for PIM systems, which optimizes memory-intensive GNN kernels through intelligent parallelization strategies. Our evaluations demonstrate that PyGim provides significant performance and energy improvements over prior state-of-the-art approaches. |
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| **Bio:** [[https://cgiannoula.github.io/#home|Christina Giannoula]] received the Ph.D. degree from the School of Electrical and Computer | **Bio:** [[https://cgiannoula.github.io/#home|Christina Giannoula]] received the Ph.D. degree from the School of Electrical and Computer |
