ICS

FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks
This paper introduces FASTEN, a cutting-edge library developed to address the computational challenges inherent in Heterogeneous Graph …
Cite Project DOI URL
Low Overhead and Context Sensitive Profiling of GPU-Accelerated Applications
As we near the end of Moore’s law scaling, the next-generation computing platforms are increasingly exploring heterogeneous …
Cite Project DOI URL
Tools for Top-down Performance Analysis of GPU-Accelerated Applications
This paper describes extensions to Rice University’s HPCToolkit performance tools to support measurement and analysis of …
Cite Project DOI URL
A Performance Analysis Framework for Exploiting GPU Microarchitectural Capability
GPUs are widely used in accelerating deep neural networks (DNNs) for their high bandwidth and parallelism. But tuning the performance …
Cite Project DOI URL