HPC trends favor algorithms and implementations that reduce data motion relative to
FLOPS. We investigate the use of lossy compressed data arrays in place of traditional IEEE …

DLRM is a state-of-the-art recommendation system model that has gained widespread
adoption across various industry applications. The large size of DLRM models, however …

The field of computing has been evolving over the years with the need for High-Performance
Computing (HPC), Deep Learning (DL), and Machine Learning (ML) on heterogeneous …

The zfp software library provides a comprehensive solution to both lossy and lossless data
compression. zfp reduces the storage space of high-precision floating-point data without …

Abstract Large Language Model (LLM) deployment necessitates high inference throughput
due to the increasing demand for text generation. To accelerate inference, the prefill …