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insideHPC Special Report: Intel HPC Orchestrator Solves HPC’s Software Challenges

This InsideHPC Special Report explores the challenges of managing open source HPC middleware, and unpacks the unique solution offered by Intel HPC Orchestrator. Intel Orchestrator is the Intel-supported distribution of the OpenHPC stack that has been tested and validated on the most recent hardware. To learn more, download the full white paper.

Infinite Memory Engine

This paper is intended to inform technical and business readers with I/O-intensive computing environments about a new software solution that manages at-scale flash to eliminate file system bottlenecks and voids old rules for application I/O optimization. Download now to learn more.

insideBIGDATA Guide to Artificial Intelligence & Deep Learning

This guide to artificial intelligence explains the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. To learn more about AI and HPC download this guide.

HPC Moves to the Cloud – What You Need to Know

While some domains that rely on computing systems are satisfied with the performance gains that are continuously delivered from processor manufacturers, others require performance that can only be attained through massive parallelism. High-performance computing is for those that need the highest performance in order to solve many of today’s most difficult scientific challenges.

Paradigm and DDN: Achieving the Ultimate Efficiency for Seismic Data Analysis

For this report, DDN performed a number of experimental benchmarks to attain optimal IO rates for Paradigm Echos application workloads. It present results from IO intensive Echos micro-benchmarks to illustrate the DDN GRIDScaler performance benefits and provide some detail to aid optimal job packing in 40G Ethernet clusters. To find out the results download this guide.

Parallel File System Delivers Better Strategies, Faster

A parallel file system offers several advantages over a single direct attached file system. By using fast, scalable, external disk systems with massively parallel access to data, researchers can perform analysis against much larger datasets than they can by batching large datasets through memory. To Learn More about the Parallel File Systems download this guide

SAS Analytics Using Direct Memory Access

Using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workflows such as risk management, while incorporating larger datasets than using traditional NAS.