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


“The Ultimate Trading Machine” from Penguin Computing sets Record for Low Latency

The world of High Frequency Trading is all about reducing latency to make money. At the recent STAC Summit in Chicago, a Penguin Computing device called The Ultimate Trading Machine achieved a record-low 98 nanosecond tick-to-trade latency, some 18% faster than the previous world record. “Facing tremendous pressures to optimize the transaction lifecycle, the financial services industry helps drive innovations in many core technologies. At Penguin Computing, we empower our customers with with open technology solutions that achieve performance requirements while keeping costs low and avoiding vendor lock-in. We are proud to join with our partners to deliver this Ultimate Trading Machine.”

NVIDIA Expands Deep Learning Institute

Today NVIDIA announced a broad expansion of its Deep Learning Institute (DLI), which is training tens of thousands of students, developers and data scientists with critical skills needed to apply artificial intelligence. “The world faces an acute shortage of data scientists and developers who are proficient in deep learning, and we’re focused on addressing that need,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As part of the company’s effort to democratize AI, the Deep Learning Institute is enabling more developers, researchers and data scientists to apply this powerful technology to solve difficult problems.”

NVIDIA GPUs Power Fujitsu AI Supercomputer at RIKEN in Japan

Fujitsu has posted news that their new AI supercomputer at RIKEN in Japan is already being used for AI research. Called RAIDEN (Riken AIp Deep learning ENvironment), the GPU-accelerated Fujitsu system sports 4 Petaflops of processing power. “The RAIDEN supercomputer is built around Fujitsu PRIMERGY RX 2530 M2 servers with and 24 NVIDIA DGX-1 systems. With 8 NVIDIA Tesla GPUs per chassis, the DGX-1 includes access to today’s most popular deep learning frameworks.”

SC17 Session Preview: “Taking the Nanoscale to the Exascale”

Brian Ban continues his series of SC17 Session Previews with a look at an invited talk on nanotechnology. “This talk will focus on the challenges that computational chemistry faces in taking the equations that model the very small (molecules and the reactions they undergo) to efficient and scalable implementations on the very large computers of today and tomorrow.”

Firing up a Continent with HPC

In this special guest feature from Scientific Computing World, Nox Moyake describes the process of entrenching and developing HPC in South Africa. “The CHPC currently has about 1,000 users; most are in academia and others in industry. The centre supports research from across a number of domains and participates in a number of grand international projects such at the CERN and the SKA projects.”

How Manufacturing will Leap Forward with Exascale Computing

In this special guest feature, Jeremy Thomas from Lawrence Livermore National Lab writes that exascale computing will be a vital boost to the U.S. manufacturing industry. “This is much bigger than any one company or any one industry. If you consider any industry, exascale is truly going to have a sizeable impact, and if a country like ours is going to be a leader in industrial design, engineering and manufacturing, we need exascale to keep the innovation edge.”

NERSC lends a hand to 2017 Tapia Conference on Diversity in Computing

The recent Tapia Conference on Diversity in Computing in Atlanta brought together some 1,200 undergraduate and graduate students, faculty, researchers and professionals in computing from diverse backgrounds and ethnicities to learn from leading thinkers, present innovative ideas and network with peers.

New GPUs accelerate HPC applications

In the past few years, accelerated computing has become strategically important for a wide range of applications. To gain performance on a variety of codes, hardware developers and software developers have concentrated their efforts to create systems that can accelerate certain applications by significant amount compared to what was previously possible.

insideBIGDATA Guide to Scientific Research

Daniel Gutierrez, Managing Editor, of insideBIGDATA has put together a terrific Guide to Scientific Research. The goal of this paper is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.

InsideHPC Special Reports

Over the past year the insideHPC editorial team have put together a series of special reports on a variety of HPC topics. These reports can be read online in an article fashion or you can download these reports from the insideHPC White Paper Library.