88 citations · 89 across the 3 of their papers we have counts for
4 papers
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches
Zhimin Li, Shusen Liu, Xin Yu +5
Deep learning approaches have provided state-of-the-art performance in many applications by relying on large and overparameterized neural networks. However, such networks have been…
QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing
James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon
Approximate computing techniques have been successful in reducing computation and power costs in several domains. However, error sensitive applications in high-performance computin…
Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods
Alyson Fox, James Diffenderfer, Jeffrey Hittinger +2
Currently, the dominating constraint in many high performance computing applications is data capacity and bandwidth, in both inter-node communications and even more-so in on-node d…
Error Analysis of ZFP Compression for Floating-Point Data
James Diffenderfer, Alyson Fox, Jeffrey Hittinger +2
Compression of floating-point data will play an important role in high-performance computing as data bandwidth and storage become dominant costs. Lossy compression of floating-poin…