Archives

Extending Dataflow Techniques from Dense to Sparse Accelerators

by Mingyu Gao on Dec 27, 2023 | Picture generated by Microsoft Designer powered by DALL·E 3 Computations on sparse matrices/tensors in scientific computing, graph processing, and deep learning are one of the earliest and most studied algorithms for hardware acceleration. Such sparse...

Architecture 2.0 Workshop: How Machine Learning Will Redefine Computer Architecture and Systems

by Siddharth Garg, Brian Hirano, Jenny Huang, Yingyan (Celine) Lin, Vijay Janapa Reddi, Tushar Krishna, Srivatsan Krishnan, Benjamin Lee, Jason Lowe-Power, Martin Maas, Shvetank Prakash, Matthew D. Sinclair, Srinivas Sridharan, Amir Yazdanbakhsh, Jason Yik, Cliff Young on Dec 20, 2023 | Tags: Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys

Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys

Tuning the Symphony of Heterogeneous Memory Systems

by Zixuan Wang and Jishen Zhao on Dec 8, 2023 | Image generated by DALL·E through ChatGPT. Heterogeneous Memory: A Journey Toward Performance The heterogeneous memory system is pivotal in today’s computer architecture. By integrating various types of memory for specific tasks and organizing them as a hierarchy, the...

Computer Architecture Today

Extending Dataflow Techniques from Dense to Sparse Accelerators

Architecture 2.0 Workshop: How Machine Learning Will Redefine Computer Architecture and Systems

Tuning the Symphony of Heterogeneous Memory Systems

Contribute

Recent Blog Posts

Subscribe

Join Us