WebGraphLily effectively utilizes the high bandwidth of HBM to achieve high performance for memory-bound sparse kernels by co-designing the data layout and the accelerator architecture. WebNov 24, 2024 · From the evaluation of twelve large-size matrices, Serpens is 1.91x and 1.76x better in terms of geomean throughput than the latest accelerators GraphLiLy and Sextans, respectively. We also evaluate 2,519 SuiteSparse matrices, and Serpens achieves 2.10x higher throughput than a K80 GPU.
GraphBLAS Pointers GraphBLAS-Pointers
WebSparse matrix-vector multiplication (SpMV) multiplies a sparse matrix with a dense vector. SpMV plays a crucial role in many applications, from graph analytics to deep learning. The random memory accesses of the sparse matrix make accelerator design challenging. However, high bandwidth memory (HBM) based FPGAs are a good fit for designing … WebMay 21, 2024 · Ecenur Üstün. I am a Ph.D. candidate in Electrical and Computer Engineering at Cornell University. My research focuses on FPGA design of arithmetic intensive applications and agile hardware development. I develop design automation tools for rapid end-to-end FPGA design closure with machine learning and formal approaches. george strait black cowboy hat
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators
WebGraphLily: A Graph Linear Algebra Overlay on HBM-Equipped FPGAs. GraphLily is the first FPGA overlay for graph processing. GraphLily supports a rich set of graph algorithms … WebNov 24, 2024 · From the evaluation of twelve large-size matrices, Serpens is 1.91x and 1.76x better in terms of geomean throughput than the latest accelerators GraphLiLy and Sextans, respectively. WebJul 10, 2024 · GraphLily supports generalized multiplication and general-ized reduction. For example, GraphLily can con gure a generalized. multiplication as one of (1) algebraic multiplication, (2) algebraic. george strait best of youtube