Samplify APAX Storage Library Accelerates Disk Throughput & Storage Capacity for HPC, BigData, and Cloud Computing
June 14, 2013
Grazed from IT News Online. Author: PR Announcement.
Samplify, the leading intellectual property company for accelerating memory, storage, and I/O bottlenecks in computing, consumer electronics and mobile devices, announces the availability of its APAX HDF (Hierarchical Data Format ) Storage Library for high-performance computing (HPC), Big Data, and cloud computing applications. With APAX HDF, HPC users can accelerate disk throughput by 3-8X and reduce the storage requirements of their HDF-enabled applications without having to modify their application software. The APAX HDF Storage Library works with Samplify’s APAX Profiler tool to analyze the inherent accuracy in each dataset being stored, and applies the recommended encoding rate to maximize acceleration of algorithms with no effect on results.
"Our engagements with government labs, academic institutions, and private data centers reveal a continuous struggle to manage an ever increasing amount of data," says Al Wegener, Founder and CTO of Samplify. "We have been asked for a simpler way to integrate our APAX encoding technology in Big Data and cloud applications. By using plug-in technology for HDF, we enable any application that currently uses HDF as its storage format to get the benefits of improved disk throughput and reduced storage requirements afforded by APAX."…
Next week at the International Supercomputing Conference (ISC’13), a paper presentation co-authored with Deutsches Klimarechenzentrum (DKRZ) [German Climate Computing Centre], University of Hamburg and Samplify cites, "The most easily obtained benefit from lossy compression of climate datasets is a significant reduction in disk file size and a corresponding increase in disk bandwidth." For increasing disk throughput, the authors observe, "APAX appears to be faster… APAX is a single-pass algorithm which leads to better cache usage." When comparing the quality of the results, the authors note, "APAX averaged 1.6X more compression." The authors conclude, "APAX offers better encoding for most climate variables due to its superior compression or data quality."