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Intel FPGAs Break Record for Deep Learning Facial Recognition Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). Developed with ZTE, a leading technology telecommunications equipment and systems company, the image recognition technology is what many companies in Internet search and AI are trying to advance. Perception, such as recogniz
In this special guest feature, Rob Farber writes that Intel’s High Performance Python distribution offers a significant boost to applications performance, even without code changes. Intel recently announced the first product release of its High Performance Python distribution powered by Anaconda. The product provides a prebuilt easy-to-install Intel Architecture (IA) optimized Python for numerical
Silicon Darwinism: How the Computer Zoo is Charting the Future of CPUs httpv://www.youtube.com/watch?v=tMCXacOXa70 In this video from SC12, Professor Kei Hiraki from the University of Tokyo discusses the Computer Zoo, a comprehensive collection of restored, fully functioning historical computers in Tokyo. Since early computers from the 1970s and 1980s had little documentation on power consumption
In a surprise announcement, IBM has pulled out of the NCSA & University of Illinois Blue Waters project, begun back in 2007 to create a sustained-Petascale computer. The 10 petaflop system was expected to be fully deployed at NCSA in late 2011. The University of Illinois and NCSA selected IBM in 2007 as the supercomputer vendor for the Blue Waters project based on projections of future technology
[SPONSORED GUEST ARTICLE] Scaling GenAI inference performance requires increasing the number of GPUs or accelerators working in parallel within the scale-up domain. In-package optical I/O offers a path forward by breaking the …. PCIe Gen 5 is a key technology for driving transportable or edge AI systems to higher performance, especially those with demanding space, environmental or cooling needs.
Vanguards of HPC-AI: Sandia’s Siva Rajamanickam — AI for Science That ‘Outpaces Predictions’ “I am passionate about working in the broad areas of machine learning for science, codesign of algorithms and architectures, performance portable algorithms, and combinatorial scientific computing. I focus on improvements in each one of these areas to enable new science and the mission of a laboratory….” L
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