Tag: embedded computing

Report Addresses the Perils of Dark Silicon

Jul 21, 2016 |

Dark silicon refers to the processing potential that’s lost when thermal constraints disallow full CPU utilization. The gap between transistor scaling and voltage scaling combined with tighter integration of components (multicore, SoCs) has power density ramifications that are of particular concern for embedded computing, but high-performance computing faces similar “dark power” challenges. Bringing attention to this issue and exploring common solutions was the goal of the Dagstuhl Seminar 16052, “Dark Silicon: From Embedded to HPC Systems.”

Adapteva Unveils 64-Core Chip

Aug 22, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Epiphany_64_small.JPG” alt=”” width=”99″ height=”90″ />Chipmaker Adapteva is sampling its 4th-generation multicore processor, known as Epiphany-IV. The 64-core chip delivers a peak performance of 100 gigaflops and draws just two watts of power, yielding a stunning 50 gigaflops/watt. The engineering samples were manufactured by GLOBALFOUNDRIES on its latest 28nm process technology.

ARM Gets Behind Accelerator Programming Project

May 29, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/CARP_logo.png” alt=”” width=”123″ height=”69″ />ARM Holdings, along with seven other academic and industrial partners, is ramping up a European research project designed to bring accelerator programming to mainstream developers. Known as CARP (Correct and Efficient Accelerator Programming), the effort is focused on developing hardware-independent programming tools around OpenCL, the industry standard parallel computing environment for GPUs and other accelerators.

HPC Going Embedded

Dec 1, 2011 |

High performance is not just for supercomputing.