Posts tagged ‘Multicore’
From Mobile Phones to Supercomputers
By Robert Gelber
While almost every system on the Top500 list makes use of multicore CPUs, one supercomputing research team looks to buck that trend. Next month, the Barcelona Supercomputing Center (BSC) will begin building the second prototype of their Mont-Blanc supercomputer, using NVIDIA’s Tegra 3 processors, the same chips found on mobile devices. In a Wired article published this week, Mont-Blanc project-lead Alex Ramirez talks about the work and what to expect from the from the new prototype system
OpenMP Announces Improvements for Multicore and Accelerators
CHAMPAIGN, Ill., Mar 27 — OpenMP, the de-facto standard for parallel programming on shared memory systems, continues to extend its reach beyond pure HPC to include embedded systems, multicore and real time systems. A new version is being developed that will include support for accelerators, error handling, thread affinity, tasking extensions and Fortran 2003. The OpenMP consortium welcomes feedback from all interested parties and will use this feedback to improve the next version of OpenMP.
Microsoft wants Intel to build 16 core Atom chip
Microsoft has asked Intel to develop a 16-core version of its low power Atom chip for use in servers, part of a wider effort to reduce power consumption in its massive data centres, a Microsoft executive said Thursday.
There’s a “huge opportunity” to improve energy efficiency by using servers based on small, low-power chip designs such as Intel’s Atom and Advanced Micro Devices’ Bobcat, said Dileep Bhandarkar, a distinguished engineer with Microsoft’s Global Foundation Services, which runs the company’s data centres.
Facing the Multicore-Challenge
“Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing”, edited by Rainer Keller, David Kramer, and Jan-Philipp Weiss is an outcome of the conference titled “Facing the Multicore” held at the Heidelberger Akademie der Wissenschaften, March 17–19, 2010. The conference focused on topics related to the impact of multicore and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. Read more
