The IEEE High Performance Extreme Computing Conference (HPEC 2017) has issued its Call for Papers. The conference takes place September 12-14 in Waltham, MA. “HPEC is the largest computing conference in New England and is the premier conference in the world on the convergence of High Performance and Embedded Computing. We are passionate about performance. Our community is interested in computing hardware, software, systems and applications where performance matters. We welcome experts and people who are new to the field.”
“From home assistants like the Amazon Echo to Google’s self-driving cars, artificial intelligence is slowly creeping into our lives. These new technologies could be enormously beneficial, but they also offer hackers unique opportunities to harm us. For instance, a self-driving car isn’t just a robot—it’s also an internet-connected device, and may even have a cell phone number.”
Today the Google Cloud Platform announced that it is the first cloud provider to offer the next generation Intel Xeon processor, codenamed Skylake. “Skylake includes Intel Advanced Vector Extensions (AVX-512), which make it ideal for scientific modeling, genomic research, 3D rendering, data analytics and engineering simulations. When compared to previous generations, Skylake’s AVX-512 doubles the floating-point performance for the heaviest calculations. In our own internal tests, it improved application performance by up to 30%.”
The Department of Energy’s Oak Ridge National Laboratory has announced the latest release of its Adaptable I/O System (ADIOS), a middleware that speeds up scientific simulations on parallel computing resources such as the laboratory’s Titan supercomputer by making input/output operations more efficient. “As we approach the exascale, there are many challenges for ADIOS and I/O in general,” said Scott Klasky, scientific data group leader in ORNL’s Computer Science and Mathematics Division. “We must reduce the amount of data being processed and program for new architectures. We also must make our I/O frameworks interoperable with one another, and version 1.11 is the first step in that direction.”
“Computational science has come a long way with machine learning (ML) and deep learning (DL) in just the last year. Leading centers of high-performance computing are making great strides in developing and running ML/DL workloads on their systems. Users and algorithm scientists are continuing to optimize their codes and techniques that run their algorithms, while system architects work out the challenges they still face on various system architectures. At SC16, I had the honor of hosting three of HPC’s thought leaders in a panel to get their ideas about the state of Artificial Intelligence (AI), today’s challenges with the technology, and where it’s going.”
In this video from the 2017 HPC Advisory Council Stanford Conference, Subhasish Mitra from Stanford presents: Beyond the Moore’s Law Cliff: The Next 1000X. Professor Subhasish Mitra directs the Robust Systems Group in the Department of Electrical Engineering and the Department of Computer Science of Stanford University, where he is the Chambers Faculty Scholar of Engineering. Prior to joining Stanford, he was a Principal Engineer at Intel Corporation. He received Ph.D. in Electrical Engineering from Stanford University.
Nvidia is seeking a GPU Performance Analysis Architect in our Job of the Week. “The NVIDIA GPU Compute Architecture group is seeking world-class architects to analyze processor and system architecture performance of full applications in machine learning, automotive, and high-performance computing. This position offers the opportunity to have a real impact on the hardware and software that underlies the most exciting trends in modern computing.”
Applications are now being accepted for the Student Volunteers program at the SC17 conference to be held Nov. 12-17 in Denver. Both undergraduate and graduate students are encouraged to apply. “Being a Student Volunteer can be transformative, from helping to find internships to deciding to pursue graduate school. Read about how Ather Sharif’s Student Volunteer experience inspired him to enroll in a Ph.D. program.”
“Through multiscale simulation of the circulatory system, it is now possible to model this surgery and optimize it using the state of the art optimization techniques. In-silico analysis has allowed us to test new surgical design without posing any risk to patient’s life. I will show the outcome of this study, which is a novel surgical option that may revolutionize current clinical practice.”
Today ISC 2017 announced that data scientist, Prof. Dr. Jennifer Tour Chayes from Microsoft Research will give the opening keynote at the conference. “I’ll discuss in some detail two particular applications: the very efficient machine learning algorithms for doing collaborative filtering on massive sparse networks of users and products, like the Netflix network; and the inference algorithms on cancer genomic data to suggest possible drug targets for certain kinds of cancer,” explains Chayes.