Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms-Reference-Cited by-同舟云学术

Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms

Published:2019-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
language:
Short-container-title:

Author:

Dadu Vidushi¹,Weng Jian¹,Liu Sihao¹,Nowatzki Tony¹

Affiliation:

1. University of California, Los Angeles

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352460.3358276

Reference111 articles.

1. [n. d.]. Intel Math Kernel library. [Online]. Available: http://software.intel.com/en-us/intel-mkl. [n. d.]. Intel Math Kernel library. [Online]. Available: http://software.intel.com/en-us/intel-mkl.

2. [n. d.]. XLA: Domain-specific compiler for linear algebra to optimizes tensorflow computations. https://www.tensorflow.org/performance/xla [n. d.]. XLA: Domain-specific compiler for linear algebra to optimizes tensorflow computations. https://www.tensorflow.org/performance/xla

3. 2016. Intel(R) Math Kernel Library for Deep Neural Networks. "https://github.com/01org/mkl-dnn". 2016. Intel(R) Math Kernel Library for Deep Neural Networks. "https://github.com/01org/mkl-dnn".

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dedicated Hardware Accelerators for Processing of Sparse Matrices and Vectors: A Survey;ACM Transactions on Architecture and Code Optimization;2024-01-17

2. TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design;ACM Transactions on Reconfigurable Technology and Systems;2023-12-05

3. Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra;IEEE Transactions on Parallel and Distributed Systems;2023-12

4. Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing;ACM Transactions on Computer Systems;2023-11-30

5. DFGC: DFG-aware NoC Control based on Time Stamp Prediction for Dataflow Architecture;2023 IEEE 41st International Conference on Computer Design (ICCD);2023-11-06