SMASH: Co-designing Software Compression and Hardware-Accelerated
Indexing for Efficient Sparse Matrix Operations

SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations

23 October 2019

Konstantinos Kanellopoulos

Nandita Vijaykumar

Christina Giannoula

Roknoddin Azizi

Nika Mansouri-Ghiasi

Juan Gómez Luna

Papers citing "SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations"

18 / 18 papers shown

Title
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity Yannan Nellie Wu Po-An Tsai Saurav Muralidharan A. Parashar Vivienne Sze J. Emer 23 23 0 22 May 2023
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU Mina Ashoury Mohammad Loni F. Khunjush Masoud Daneshtalab 13 1 0 11 Feb 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 35 17 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 28 5 0 24 Jan 2023
Accelerating Irregular Applications via Efficient Synchronization and Data Access Techniques Christina Giannoula 18 4 0 10 Nov 2022
Demystifying Map Space Exploration for NPUs Sheng-Chun Kao A. Parashar Po-An Tsai T. Krishna 30 11 0 07 Oct 2022
Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems Christina Giannoula Ivan Fernandez Juan Gómez Luna N. Koziris G. Goumas O. Mutlu 21 3 0 02 Apr 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 38 4 0 04 Feb 2022
SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems Christina Giannoula Ivan Fernandez Juan Gómez Luna N. Koziris G. Goumas O. Mutlu MoE 16 26 0 13 Jan 2022
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture Juan Gómez Luna I. E. Hajj Ivan Fernandez Christina Giannoula Geraldo F. Oliveira O. Mutlu 22 82 0 09 May 2021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats Eric Qin Geonhwa Jeong William Won Sheng-Chun Kao Hyoukjun Kwon S. Srinivasan Dipankar Das G. Moon S. Rajamanickam T. Krishna 27 18 0 18 Mar 2021
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures Christina Giannoula Nandita Vijaykumar Nikela Papadopoulou Vasileios Karakostas Ivan Fernandez Juan Gómez Luna Lois Orosa N. Koziris G. Goumas O. Mutlu 85 82 0 19 Jan 2021
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons Simon Wiedemann Suhas Shivapakash P. Wiedemann Daniel Becking Wojciech Samek F. Gerfers Thomas Wiegand MQ 16 7 0 17 Dec 2020
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 20 373 0 17 Dec 2020
SlimSell: A Vectorizable Graph Representation for Breadth-First Search Maciej Besta Florian Marending Edgar Solomonik Torsten Hoefler 57 64 0 19 Oct 2020
Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra M. Soltaniyeh R. Martin Santosh Nagarakatte 8 8 0 29 Apr 2020
A Systematic Survey of General Sparse Matrix-Matrix Multiplication Jianhua Gao Weixing Ji Fangli Chang Zhaonian Tan Bingxin Wei Zeming Liu Yueyan Zhao 18 57 0 26 Feb 2020
Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions Nandita Vijaykumar 25 2 0 10 Nov 2019