192 citations · 514 across the 46 of their papers we have counts for
Showing 2023 · cs.ARShow all
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cs.AR2023★ 1 cited
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya +5
Deep Learning (DL) acceleration support in CPUs has recently gained a lot of traction, with several companies (Arm, Intel, IBM) announcing products with specialized matrix engines…
cs.AR2023★ 2 cited
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing
Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán +3
Sparsity is a growing trend in modern DNN models. Existing Sparse-Sparse Matrix Multiplication (SpMSpM) accelerators are tailored to a particular SpMSpM dataflow (i.e., Inner Produ…