MailChimp Developer

Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


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?”

Hero Performance is about the Applications

David Lecomber, CEO, Allinea

During last month’s PRACE Days in Dublin – where I enjoyed talks on improvements in codes and methods in areas as diverse as CFD, RTM in geophysics, and in genomics – I saw once again that “hero” performance improvements happen and happen regularly.

Load Balancing Using OpenMP 4.0

OpenMP

OpenMP 4.0 standard now allows for the offloading of portions of the application, in order to take more advantage of many-core accelerators such as the Intel Xeon Phi coprocessor.

Solving Eight Constraints of Today’s Data Center

data center cooling

With the growth of big data, cloud and high performance computing, demands on data centers around the world are expanding every year. Unfortunately, these demands are coming up against significant opposition in the form of operating constraints, capital constraints, and sustainability goals. In this article, we look at 8 of these constraints and how direct-to-chip liquid cooling is solving them.