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Coprocessor File System Support

phi-compressor

To get maximum performance from the Intel Xeon Phi, applications may have to be re-thought to take advantage of the SIMD architecture.

Invest in Supercomputers, Not Chillers

Mississippi State

By using Direct-to-Chip liquid cooling, Mississippi State University was able to purchase more servers by minimizing the capital spent to cool the data center. The success of the initial cluster at MSU led to the installation of second cluster.

Why Modernize Code?

Intel_HPC_CodeM_IDZweb_HERO_375x420

In order to speed up applications, a developer must learn to take advantage of the multiple threads, cores and sockets found on a single server or on a cluster. Just hoping for a faster CPU anymore won’t cut it.

South Africa’s CHPC Builds a Better Infrastructure with Altair PBS Works

CHPC South Africa

At the Centre for High-Performance Computing (CHPC) in South Africa, the mission is to enable cutting-edge research by supporting the highest levels of HPC available. That means ensuring researchers – who often are not experienced with computers let alone HPC systems – to get their work done with the HPC getting in the way.

Integrating an Intel Xeon Phi Cluster

Cray_Computer_Cluster_05_HRSS

At the National Institute of Computational Sciences (NICS), a joint venture by the University of Tennessee and the Oak Ridge National Laboratory, a joint team set out to learn how to integrate the Intel Xeon Phi coprocessor into cluster configurations.

Power Usage for Coprocessors

PS5666X

“As the use of coprocessors increases to speedup HPC applications, it is important to understand how much additional power the coprocessors use. With various measurements and benchmarks arising to calculate the power used during the running of compute and data intensive applications, measuring the power draw from an Intel Xeon Phi coprocessor is important to understanding the best use of resources.”

New HP Apollo 4000 Systems Fulfill Booming Big Data Analytics & Object Storage Requirements

Apollo4530_Gen9_Server_TOP

High Performance Computing and Big Data analytics touch us every day. We each rely on daily weather forecasts, banking and financial information, scientific and health analyses, and thousands of other activities that involve HPC and Big Data analysis.

HPC in Medical Applications

onestop1

Medical applications like CT (computed tomography) scanning and MRI (magnetic resonance imaging) require quick, accurate results from processing complex algorithms. So reducing the compute time required is a primary challenge to manufacturers of CT and MRI equipment.

Computing With MPI in Heterogeneous Environments

Stampede

Designating the appropriate provider for large MPI applications is critical to taking advantage of all of the compute power available. “A modern HPC system with multiple host cpus and multiple coprocessors such as the Intel Xeon Phi coprocessor housed in numerous racks can be optimized for maximum application performance with intelligent thread placement.”

Concurrent Kernel Offloading

phi

“The combination of using a host cpu such as an Intel Xeon combined with a dedicated coprocessor such as the Intel Xeon Phi coprocessor has been shown in many cases to improve the performance of an application by significant amounts. When the datasets are large enough, it makes sense to offload as much of the workload as possible. But is this the case when the potential offload data sets are not as large?”