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The Effects of Flash Storage on Storage Infrastructure

Flash storage has attained significant market growth over the years, with enterprise SSD revenues nearly quadrupling between 2012 and 2017.  In this guest article, HPE explores how flash storage is changing the landscape of storage infrastructure. “WekaIO is is a flash-optimized parallel file system, created for use with high speed networks and architected to provide high IOPS and low latency performance.”

Data Compression Optimized with Intel® Integrated Performance Primitives

Intel® Integrated Performance Primitives (Intel IPP) offers the developer a highly optimized, production-ready, library for lossless data compression/decompression that targets image, signal, and data processing, and cryptography applications. The Intel IPP optimized implementations of the common data compression algorithms are “drop-in” replacements for the original compression code.

BioScience gets a Boost Through Order-of-Magnitude Computing Gains

Intel is working with leaders in the field to eliminate today’s data processing bottlenecks. In this guest post from Intel, the company explores how BioScience is getting a leg up from order-of-magnitude computing progress. “Intel’s framework is designed to make HPC simpler, more affordable, and more powerful.”

High Performance Big Data Computing Using Harp-DAAL

Harp-DAAL is a framework developed at Indiana University that brings together the capabilities of big data (Hadoop) and techniques that have previously been adopted for high performance computing.  Together, employees can become more productive and gain deeper insights to massive amounts of data.

Intel HPC Technology: Fueling Discovery and Insight with a Common Foundation

To remain competitive, companies, academic institutions, and government agencies must tap the data available to them to empower scientific breakthroughs and drive greater business agility. This guest post explores how Intel’s scalable and efficient HPC technology portfolio accelerates today’s diverse workloads. 

Python Can Do It

“Python remains a single threaded environment with the global interpreter lock as the main bottleneck. Threads must wait for other threads to complete before starting to do their assigned work. The result of this model is that production code is produced that is too slow to be useful for large simulations.”

Rack Scale Composable Infrastructure for Mixed Workload Data Centers

A more flexible, application-centric, datacenter architecture is required to meet the needs of rapidly changing HPC applications and hardware. In this guest post, Katie Rivera of One Stop Systems explores how rack-scale composable infrastructure can be utilized for mixed workload data centers. 

Broad Institute and Intel Advance Genomics

The Broad Institute of MIT and Harvard in collaboration with Intel, is playing a major role in accelerating genomic analysis. This guest post from Intel explores how the two are working together to ‘reach levels of analysis that were not possible before.’

Intel AVX Gives Numerical Computations in Java a Big Boost

Recent Intel® enhancements to Java enable faster and better numerical computing. In particular, the Java Virtual Machine (JVM) now uses the Fused Multiply Add (FMA) instructions on Intel Intel Xeon® PhiTM processors with Advanced Vector Instructions (Intel AVX) to implement the Open JDK9 Math.fma()API. This gives significant performance improvements for matrix multiplications, the most basic computation found in most HPC, Machine Learning, and AI applications.

NVIDIA Makes Visualization Easier in the Cloud

Visualizing the results of a simulation can give new insight into complex scientific problems. Interactive viewing of entire datasets can lead to earlier understanding of the challenge at hand and can enhance the understanding of complex phenomena. With the release of the of HPC Visualization Containers with the NVIDIA CPU Cloud, it has become much easier to get a visualization system up and production ready much quicker than ever before.