CGRA4HPC 2024 will be held in conjunction with IPDPS 2024 in San Francisco, US, on Friday, May 31st.
Time | Session | Description | Authors |
---|---|---|---|
09:00am | Introduction | Opening | |
09:15 am | Invited | Exploring Coarse-Grained Arrays with Riallto: An Open-Source Framework for AMD Neural Processing Units | Andrew Schmidt (Advanced Micro Devices) |
10:00 am | Coffee break | ||
10:30 am | Technical | Paper 1: An Architecture-Agnostic Dataflow Mapping Framework on CGRA | Jiangnan Li, Yazhou Yan, and Lingli Wang |
11:00 am | Technical | Paper 2: TransMap: An Efficient CGRA Mapping Framework via Transformer and Deep Reinforcement Learning | Jingyuan Li, Yuan Dai, and Lingli Wang |
11:30 am | Technical | Paper 3: Comparative Analysis of Executing GPU Applications on FPGA: HLS vs. Soft GPU Approaches | Chihyo Ahn, Shinnung Jeong, Liam Paul Cooper, Nicholas Parnenzini, and Hyesoon Kim |
12:00 pm | Lunch break | ||
01:30 pm | Invited | MoSAIC: Modular system for Acceleration Integration in HPC using programmable logic | Patricia Gonzalez-Guerrero (Lawrence Berkeley National Laboratory) |
02:30 pm | Technical | Paper 4: CGRA-ME 2.0: A Research Framework for Next-Generation CGRA Architectures and CAD | Omar Ragheb, Stephen Wicklund, Matthew Walker, Rami Beidas, Adham Ragab, Tianyi Yu, and Jason Anderson |
03:00 pm | Coffee break | ||
03:30 pm | Technical | Paper 5: A Scalable Mapping Method for Elastic CGRAs | Makoto Saito, Takuya Kojima, Hideki Takase, and Hiroshi Nakamura |
04:00 pm | Technical | Paper 6: GIM (Ghost In the Machine): A Coarse-Grained Reconfigurable Compute-In-Memory Platform for Exploring Machine-Learning Architectures | Maya Borowicz, James Ding, Winnie Fan, Zhongqi Gao, Davis Jackson, Ares Lu, Sophia Rohlfsen, and Ray Simar |
04:15 pm | Panel | AI for CGRAs -- how can AI improve CGRA architecture research and CAD? | |
05:00 pm | Ending | Workshop conclusion |
We welcome authors to contribute full-length research papers subject to the topics of interest described below. Contributions should be unpublished and not for consideration in other venues. Papers should not exceed eight (8) single-spaced pages, formatted in the double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style). We adopt a single-blind review process. Accepted papers will be included in the workshop proceedings, that will be distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference. We also welcome presentations on new and emerging CGRA technologies from industry and startups. These will be presented at a special lightning session in the workshop. Please contact the workshop organizers (Send mail here) if you are interested in participating in this event.
Submit your paper HERE