Graphlily
WebFeb 12, 2024 · GraphLily, a graph linear algebra overlay, to accelerate graph processing on HBM-equipped FPGAs and builds a middleware to provide runtime support, which shows that compared with state-of-the-art graph processing frameworks on CPUs and GPUs, GraphLily achieves up to 2.5 x and 1.1 x higher throughput, while reducing the energy … 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 …
Graphlily
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WebGraphLily: Accelerating graph linear algebra on HBM-equipped FPGAs. Int'l Conf. on Computer-Aided Design (ICCAD), 2024. Google Scholar; Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, and Jason Cong. Analysis and optimization of the implicit broadcasts in FPGA HLS to improve maximum frequency. … WebFrom 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, …
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. 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 …
WebHeteroCL is now even more versatile, efficient and stable, making it an excellent tool for developing high-performance hardware design and heterogeneous programming. We … WebNov 1, 2024 · GraphLily is a graph linear algebra overlay designed in HLS that can achieve efficient and practical acceleration of graph processing workloads on HBM-equipped …
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.
WebSep 22, 2024 · Sparse-Matrix Dense-Matrix multiplication (SpMM) is the key operator for a wide range of applications, including scientific computing, graph processing, and deep … inktcartridges canon mg4250WebGraphLily supports a rich set of graph algorithms by adopting the GraphBLAS programming interface, which formulates graph algorithms as sparse linear algebra operations. GraphLily provides efficient, memory-optimized accelerators for the two widely-used kernels in GraphBLAS, namely, sparse-matrix dense-vector multiplication (SpMV) and sparse ... inktcartridges controlerenWebFeb 17, 2024 · For the energy efficiency, Serpens is 1.71x, 1.90x, and 42.7x better compared with GraphLily, Sextans, and K80, respectively. After scaling up to 24 HBM channels, Serpens achieves up to 30 ... mobil rugby league cardsWebSparse-Matrix Dense-Matrix multiplication (SpMM) is the key operator for a wide range of applications including scientific computing, graph processing, and deep learning. … mobil rivers avenue north charleston scWebApr 21, 2024 · Abstract. The year 2011 marked an important transition for FPGA high-level synthesis (HLS), as it went from prototyp- ing to deployment. A decade later, in this article, we assess the progress of ... mobil royal heightsWebGraphLily supports a rich set of graph algorithms by adopting the GraphBLAS programming abstraction, which formulates graph algorithms as sparse linear algebra operations on … mobil router netgearWebNov 24, 2024 · Sparse matrix-vector multiplication (SpMV) multiplies a sparse matrix with a dense vector. SpMV plays a crucial role in many applications, from graph analytics to … mobil rush 2019