Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:

The AI Future is Closer than it Seems

Gadi Singer gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of high-performance computing and artificial intelligence (AI) will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”

Video: Deep Learning for Science

Prabhat from NERSC and Michael F. Wehner from LBNL gave this talk at the Intel HPC Developer Conference in Denver. “Deep Learning has revolutionized the fields of computer vision, speech recognition and control systems. Can Deep Learning (DL) work for scientific problems? This talk will explore a variety of Lawrence Berkeley National Laboratory’s applications that are currently benefiting from DL.”

Intel Omni-Path Architecture: The Real Numbers

In this slidecast, Joe Yaworski from Intel describes the Intel Omni-Path architecture and how it scales performance for a wide range of HPC applications. He also shows why recently published benchmarks have not  reflected the real performance story.

Intel tackles FPGA HPC Memory Bottleneck

Intel recently announced the availability of the Intel Stratix 10 MX FPGA, the industry’s first field programmable gate array (FPGA) with integrated HBM2. By integrating the FPGA and the HBM2, Intel Stratix 10 MX FPGAs offer up to 10 times the memory bandwidth when compared when compared to standard DDR 2400 DIMM.

Dr. Pradeep Dubey on AI & The Virtuous Cycle of Compute

“Deep Learning was recently scaled to obtain 15PF performance on the Cori supercomputer at NERSC. Cori Phase II features over 9600 KNL processors. It can significantly impact how we do computing and what computing can do for us. In this podcast, I will discuss some of the application-level opportunities and system-level challenges that lie at the heart of this intersection of traditional high performance computing with emerging data-intensive computing.”

Harp-DAAL: A Next Generation Platform for High Performance Machine Learning on HPC-Cloud

Judy Qiu from Indiana University gave this Invited Talk at SC17. “Our research has concentrated on runtime and data management to support HPC-ABDS. This is illustrated by our open source software Harp, a plug-in for native Apache Hadoop, which has a convenient science interface, high performance communication, and can invoke Intel’s Data Analytics Acceleration Library (DAAL). We are building a scalable parallel Machine Learning library that includes routines in Apache Mahout, MLlib, and others built in an NSF funded collaboration.”

Trinity Supercomputer lands at #7 on TOP500

The Trinity Supercomputer at Los Alamos National Laboratory was recently named as a top 10 supercomputer on two lists: it made number three on the High Performance Conjugate Gradients (HPCG) Benchmark project, and is number seven on the TOP500 list. “Trinity has already made unique contributions to important national security challenges, and we look forward to Trinity having a long tenure as one of the most powerful supercomputers in the world.” said John Sarrao, associate director for Theory, Simulation and Computation at Los Alamos.

Intel Parallel Studio 2018: Modernize Your Code

“Intel Parallel Studio 2018 has been designed to recognize the latest CPU architectures including the Intel Xeon Scalable processor family and the Intel Xeon Phi processors in order to get maximum performance from their differing architectures, yet remain binary compatible. With the recent introduction of the Intel  AVX-512 vectorization instructions, application developers can more easily take advantage of these new instructions when developing and compiling with the Intel Parallel Studio 2018.”

Video: How to Get the HPC Best-in-class Performance via Intel Xeon Skylake

“HPC Cloud services built on the latest Intel architecture, Skylake Xeon processor, are now powering the C5 compute intensive instance at AWS and can serve as your next-generation HPC platform. Hear how customers are starting to consider hybrid strategies to increase productivity and lower their capital expenditure and maintenance costs. Also learn how to adapt this model to meet the increasing HPC and data analytics needs for your applications with the new technologies incorporated into the platform.”

AI Software: Understanding the Rapidly Expanding Ecosystem

The hardware and software for AI devices is rapidly evolving, so it is important to procure wisely for the future without incurring technology or vendor lock in. This post from an insideHPC Special Report focuses on AI software and how to best use and understand this rapidly expanding ecosystem.