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Your Workload Manager is Your Latest X Factor

Enterprise customers consistently demand improved performance from every component in their HPC infrastructure, including their workload manager. Ian Lumb, Solutions Architect at Univa Corp., speaks on the importance of an innovative workload manager to overall success.

Intel® Graphics Performance Analyzer for Faster Graphics Performance

“Just as developers need tools to understand the performance of a CPU intensive application in order to modify the code for higher performance, so do those that develop interactive 3D computer graphics applications. An excellent tool for t this purpose is the Intel Graphics Performance Analyzer set. This tool, which is free to download, can help the developer understand at a very low level how the application is performing, from a number of aspects.”

Intel® VTune™ Amplifier Turns Raw Profiling Data Into Performance Insights

Discovering where the performance bottlenecks are and knowing what to do about it can be a mysterious and complex art, needing some very sophisticated performance analysis tools for success. That’s where Intel® VTune™ Amplifier XE 2017, part of Intel Parallel Studio XE, comes in.

Next-Generation Sequencing Improving Precision Medicine

Genomic sequencing has progressed so rapidly that researchers can now analyze the genetic profiles of healthy individuals to uncover mutations that will almost certainly lead to a genetic condition. These breakthroughs are demonstrating that the future of genomic medicine will focus not just on the ability to reactively treat diseases, but on predicting and preventing them before they occur.

Intel MKL and Intel TBB Working Together for Performance

When used in a TBB environment, Intel has demonstrated a many-fold performance improvement over the same parallelized code using Intel MKL in an OpenMP environment. Intel TBB-enabled Intel MKL is ideal when there is heavy threading in the Intel TBB application. Intel TBB-enabled Intel MKL shows solid performance improvements through better interoperability with other parts of the workload.

Creating Applications with the Intel Computer Vision SDK

“In order for developers to be able to focus on their application, a Vision Algorithm Designer application is included in the Intel Computer Vision SDK. This gives users a drag and drop interface that allows them to create new applications on the fly. Large and complex workflows can be modelled visually which takes the guesswork out of bringing together many different functions. In addition, customized code can be added to the workflows.”

Next-Generation Sequencing Altering the Patient Care Landscape

Next-generation sequencing (NGS) tools produce vast quantities of genetic data which poses a growing number of challenges to life sciences organizations. Accelerating analytics, providing adequate storage and memory capacity, speeding time-to-solution, and reducing costs are major concerns for IT department operating on traditional computing systems. In this week’s Sponsored Post, Bill Mannel, Vice President & General Manager of HPC Segment Solutions and Apollo Servers, Data Center Infrastructure Group at Hewlett Packard Enterprise, explains how next-generation sequencing is altering the patient care landscape.

Intel MPI Library 2017 Focuses on Intel Multi-core/Many-Core Clusters

With the release of Intel Parallel Studio XE 2017, the focus is on making applications perform better on Intel architecture-based clusters. Intel MPI Library 2017, a fully integrated component of Intel Parallel Studio XE 2017, implements the high-performance MPI-3.1 specification on multiple fabrics. It enables programmers to quickly deliver the best parallel performance, even if you change or upgrade to new interconnects, without requiring changes to the software or operating environment.

Let The Compiler Do Its Thing

“In the past, developers would get best results if a loop was unrolled, that is, duplicating the body as many times as needed to that the operations could be operated on using full vectors. The number of iterations would reflect the hardware that the code was targeted towards. Since the application may have to run on different hardware in the future, results for todays generation of hardware may be compromised in the future. In fact, it is better to let modern compilers to the unrolling.”

Intel DAAL Accelerates Data Analytics and Machine Learning

Intel DAAL is a high-performance library specifically optimized for big data analysis on the latest Intel platforms, including Intel Xeon®, and Intel Xeon Phi™. It provides the algorithmic building blocks for all stages in data analysis in offline, batch, streaming, and distributed processing environments. It was designed for efficient use over all the popular data platforms and APIs in use today, including MPI, Hadoop, Spark, R, MATLAB, Python, C++, and Java.