Data-intensive applications are quickly emerging as a significant new class of HPC workloads. For this class of applications, a new kind of supercomputer, and a different way to assess them, will be required. That is the impetus behind the Graph 500, a set of benchmarks that aim to measure the suitability of systems for data-intensive analytics applications.
Given the recent ascent of the GPU-powered Tianhe-1A system to the top of the supercomputing heap, a current paper from Department of Computer Science at the University of Warwick should be of particular interest to those in the market for a petascale supercomputer. Essentially their study asks the question: As an organization, should I commit to a platform based on general-purpose GPUs or an IBM Blue Gene?
Tianhe-1A sets Linpack mark of 2.5 petaflops.
Grape-DR machine delivers 815 megaflops per watt.
The TOP500 list is getting ready for another round of petafloppery
AMD’s John Fruehe and ORNL’s Buddy Bland talk about the significance of Jaguar capturing the top spot in the supercomputing world and what that means for the most demanding science applications.
Jaguar leaves Roadrunner in the dust.
Latest GPU-equipped super hits 1.2 peak petaflops.
Intel’s Nehalem gets Linpunked.
Japan’s newly inaugurated Fujitsu FX1 supercomputer is being touted as the most efficient HPC system in the world.