Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

Nvidia, Baidu Expand AI Partnership 

July 5, 2017

Today at its developer conference in Beijing, Baidu announced a broadening of its AI partnership with Nvidia, including plans to bring Nvidia’s recently annou Read more…

By Doug Black

HPE Expands HPC Lineup; Targets Deep Learning, Lustre, and FS

April 4, 2016

Hewlett Packard Enterprise (HPE) for the second straight week introduced new server products with today’s launches aimed at high performance computing. The ce Read more…

By John Russell

Titan Helps Researchers Explore Explosive Star Scenarios

December 8, 2015

A team led by Michael Zingale of Stony Brook University is exploring the physics of Type Ia supernovas using the Titan supercomputer at the US Department of Ene Read more…

Think Fast: IBM Talks Acceleration in HPC and the Enterprise

November 16, 2015

At SC15 today, IBM provided a glimpse of its broadening vision for accelerator-assisted computing with announcements around Watson, a strategic alliance with FP Read more…

By John Russell

Benchmarking Effort Declares Tie Between Cloud and Native Hardware

February 3, 2011

A recent effort led by Cycle Computing based on the SHOC benchmark revealed equal performance between GPU-accelerated cloud and native hardware. Read more…

By Nicole Hemsoth

NVIDIA’s Senior Solution Architect, Dale Southard on GPU Clouds for HPC

December 8, 2010

This week we talked to Dale Southard of NVIDIA about the challenges and benefits of providing access to GPU resources in a cloud enviornment. We touch upon issues related to performance, CUDA, future directions, and Dale's own experiences in HPC and how they carried over to his work with GPU clouds. Read more…

By Nicole Hemsoth

MATLAB Adds GPGPU Support

September 20, 2010

MATLAB users with a taste for GPU computing now have a perfect reason to move up to the latest version. Release R2010b adds native GPGPU support that allows user to harness NVIDIA graphics processors for engineering and scientific computing. The new capability is provided within the Parallel Computing Toolbox and Distributed Computing Server. Read more…

By Michael Feldman

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