This week Avago Technologies announced the signing of a definitive agreement for Intel to acquire LSI’s Axxia Networking Business and related assets for $650 million in cash.
“Moore’s Law got deflected in 2004, when it became no longer practical to ramp up the clock speed of CPUs to improve performance. So the chip industry improved CPU performance by adding more processors to a chip in concert with miniaturization. This was extra power, but you could not leverage it easily without building parallel software. Virtual machines could use multicore chips for server consolidation of light workloads, but large workloads needed parallel architectures to exploit the power. So, the software industry and the hardware industry moved towards exploiting parallelism in ways they had not previously done. This is the motive force behind the Big Data.”
The Vienna Scientific Cluster (VSC-3) is using Intel’s true scale fabric to support scientific research at a consortium of multiple institutions in Austria. “While vendors were free to choose network technology as well as topology, the stringent performance requirements, in particular concerning the message rate (2.5 million messages per second and processor core) led the winning bidder, ClusterVision, to select Intel True Scale Fabric QDR80 for VSC-3.”
The SC14 communications team interviewed Trish to get her perspective on this year’s Supercomputing Conference. “There is a wealth of knowledge from experienced SC volunteers who continue to provide their expertise year after year. The volunteers of SC are the heart of creating the thriving conference each year. My job is to keep them motivated and moving in the same direction.”
Marc Hamilton presented this talk at the recent GTC Conference in Japan. “The next stop for GP-GPU computing is the exciting new field of machine learning for big data analytics. Using Convolution Neural Networks running on GPUs, it is now for the first time practical to process the huge amounts of unstructured text, voice, image, and video data available on the web to perform classification, clustering, regression, and recommendation.”