Differences

This shows you the differences between two versions of the page.

--- start [2024/04/02 08:35] – geraldod
+++ start [2024/06/28 19:14] (current) – [Lectures (tentative schedule, time zone: GMT-3)] geraldod
@@ Line 22: / Line 22: @@
 ==== Livestream ====
-[[|Zoom livestream]]
+[[https://www.youtube.com/watch?v=KV2MXvcBgb0 |YouTube livestream]]
+{{youtube>KV2MXvcBgb0?large}}
 ==== Organizers ====
@@ Line 32: / Line 32: @@
 |[[https://people.inf.ethz.ch/omutlu/index.html|Professor Onur Mutlu]]| <onur.mutlu@safari.ethz.ch> |
-===== Agenda =====
+===== Agenda (June 29, 2024) =====
-==== Lectures (tentative schedule) ====
+==== Lectures (tentative schedule, time zone: GMT-3) ====
-  - Introduction: PIM as a paradigm to overcome the data movement bottleneck.
+  * 9:00am-9:20am, Prof. Onur Mutlu / Geraldo F. Oliveira, “Memory-centric Computing: Introduction to PIM as a Paradigm to Overcome the Data Movement Bottleneck.”
-  - Workload analysis and system bottlenecks.
+    * Workload analysis and system bottlenecks.
-  - PIM taxonomy: technology, location, and nature of computation (e.g., PNM (processing-near-memory) and PUM (processing-using-memory).
+    * PIM taxonomy: technology, location, and nature of computation (e.g., PNM (processing-near-memory) and PUM (processing-using-memory).
-  - Advances in different types of PIM at different parts of the memory/storage systems.
+    * Advances in different types of PIM at different parts of the memory/storage systems.
-  - Example real-world PNM systems: UPMEM PIM, Samsung HBM-PIM & CXL-PNM, SK Hynix AiM & CMS 2.0, Samsung AxDIMM, Alibaba PNM, Mythic.
+  * 9:30am-9:50am, Prof. Minsoo Rhu, Invited Talk #1.
-  - PUM systems for bulk bitwise operations in simulated and off-the-shelf memory technologies (DRAM, SRAM, and NVM).
-  - Programming techniques and tools for PIM systems.
+  * Coffee break (10:00am-10:20am)
-  - Infrastructures for doing PIM Research (simulation, real systems, FPGA prototypes).
-  - Research challenges and opportunities in PIM systems, with a focus on enabling adoption in the real world.
+  * 10:30am-10:50am, Dr. Mohammad Sadr, “Processing-Near-Memory: Real PNM Architectures.”
+    * Example real-world PNM systems: UPMEM PIM, Samsung HBM-PIM & CXL-PNM, SK Hynix AiM & CMS 2.0, Samsung AxDIMM, Alibaba PNM, Mythic.
+  * 11:00am-11:20am, Geraldo F. Oliveira, "PUM Systems for Bulk Bitwise Operations."
+    * PUM systems for bulk bitwise operations in simulated and off-the-shelf memory technologies (DRAM, SRAM, and NVM).
+  * 11:30am-11:50am, Prof. Saugata Ghose, Invited Talk #2.
+  * 12:00pm-12:20pm, Geraldo F. Oliveira, "Programming Techniques, Infrastructure, and Research Challenges for PIM."
+    * Programming techniques and tools for PIM systems.
+    * Infrastructures for doing PIM Research (simulation, real systems, FPGA prototypes).
+    * Research challenges and opportunities in PIM systems, with a focus on enabling adoption in the real world.
+  * 12:20pm-12:30pm, Geraldo F. Olveira, "Closing Remarks."
 ==== Tutorial Materials ====
 ^ Time ^ Speaker ^ Title ^ Materials ^
-| TBA  | TBA | TBA | TBA |
+| 09:00am-09:20am   | Prof. Onur Mutlu / Geraldo F. Oliveira | Memory-Centric Computing |{{geraldo-isca24-lecture1-memory-centric-computing-beforelecture.pdf|(PDF)}} {{geraldo-isca24-lecture1-memory-centric-computing-beforelecture.pptx|(PPT)}}|
+| 09:30am-09:50am   | Professor Minsoo Rhu | Memory-Centric Computing Systems – For AI and Beyond |{{|(PDF)}} {{|(PPT)}}|
+| 10:00am-10:20am  | N/A | Coffee Break | |
+| 10:30am-10:50am   | Dr. Mohammad Sadr | Processing-Near-Memory: Real PNM Architectures |{{sadr-isca24-lecture2-processing-near-memory-beforelecture.pdf|(PDF)}} {{sadr-isca24-lecture2-processing-near-memory-beforelecture.pptx|(PPT)}}|
+| 11:00am-11:20am   | Geraldo F. Oliveira | Processing-Using-Memory for Bulk Bitwise Operations |{{geraldo-isca24-lecture3-processing-using-memory-beforelecture.pdf|(PDF)}} {{geraldo-isca24-lecture3-processing-using-memory-beforelecture.pptx|(PPT)}}|
+| 11:30am-11:50am  | Professor Saugata Ghose | RACER and ReRAM Processing-Using-Memory |{{|(PDF)}} {{|(PPT)}}|
+| 12:00pm-12:00pm  | Geraldo F. Oliveira | Programming Techniques, Infrastructure, and Research Challenges for PIM |{{geraldo-isca24-lecture4-adoption-programmability-beforelecture.pdf|(PDF)}} {{geraldo-isca24-lecture4-adoption-programmability-beforelecture.pptx|(PPT)}}|
+| 12:20pm-12:30pm  | Geraldo F. Oliveira | Closing Remarks |{{geraldo-isca24-lecture5-conclusion-remarks-beforelecture.pdf|(PDF)}} {{geraldo-isca24-lecture5-conclusion-remarks-beforelecture.pptx|(PPT)}}|
 ==== Learning Materials ====
@@ Line 75: / Line 92: @@
     * [[https://arxiv.org/pdf/2402.19080.pdf | PDF (arXiv)]]
     * [[https://github.com/CMU-SAFARI/MIMDRAM | Repository (GitHub)]]
+  * Hajinazar, N., Oliveira, G. F., Gregorio, S., Ferreira, J. D., Ghiasi, N. M., Patel, M., Alser, M., Ghose, S., Gomez-Luna, J., Mutlu. O., SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM, in ASPLOS, 2021.
+    * [[https://arxiv.org/pdf/2105.12839.pdf | PDF (arXiv)]]
+    * [[https://www.youtube.com/watch?v=lu3Br4-kySw | Full Talk Video]]
+  * Seshadri, V., Lee, D., Mullins, T., Hassan, H., Boroumand, A., Kim, J., Kozuch, M. A., Mutlu, O., Gibbons, P. B., Mowry, T. C., Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology, in MICRO, 2017.
+    * [[https://people.inf.ethz.ch/omutlu/pub/ambit-bulk-bitwise-dram_micro17.pdf | PDF]]