40 citations · 40 across the 3 of their papers we have counts for
3 papers
Dato: A Task-Based Programming Model for Dataflow Accelerators
Shihan Fang, Hongzheng Chen, Niansong Zhang +4
Recent deep learning workloads increasingly push computational demand beyond what current memory systems can sustain, with many kernels stalling on data movement rather than comput…
Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
Niansong Zhang, Wenbo Zhu, Courtney Golden +4
Compute-in-SRAM architectures offer a promising approach to achieving higher performance and energy efficiency across a range of data-intensive applications. However, prior evaluat…
Allo: A Programming Model for Composable Accelerator Design
Hongzheng Chen, Niansong Zhang, Shaojie Xiang +3
Special-purpose hardware accelerators are increasingly pivotal for sustaining performance improvements in emerging applications, especially as the benefits of technology scaling co…