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Pawsey Centre adds NVIDIA Volta GPUs to its HPC Cloud

One year after launching its cloud service, Nimbus, the Pawsey Supercomputing Centre has now expanded with NVIDIA GPU nodes. The GPUs are currently being installed, so the Pawsey cloud team have begun a Call for Early Adopters. “Launched in mid-2017 as a free cloud service for researchers who require flexible access to high-performance computing resources, Nimbus consists of AMD Opteron CPUs making up 3000 cores and 288 terabytes of storage. Now, Pawsey will be expanding its cloud infrastructure from purely a CPU based system to include GPUs; providing a new set of functionalities for researchers.”

Celebrating 20 Years of the OpenMP API

“The first version of the OpenMP application programming interface (API) was published in October 1997. In the 20 years since then, the OpenMP API and the slightly older MPI have become the two stable programming models that high-performance parallel codes rely on. MPI handles the message passing aspects and allows code to scale out to significant numbers of nodes, while the OpenMP API allows programmers to write portable code to exploit the multiple cores and accelerators in modern machines.”

BioScience gets a Boost Through Order-of-Magnitude Computing Gains

Intel is working with leaders in the field to eliminate today’s data processing bottlenecks. In this guest post from Intel, the company explores how BioScience is getting a leg up from order-of-magnitude computing progress. “Intel’s framework is designed to make HPC simpler, more affordable, and more powerful.”

Universal Coding of the Reals: Alternatives to IEEE Floating Point

Peter Lindstrom from LLNL gave this talk at the Conference on Next Generation Arithmetic in Singapore. “We propose a modular framework for representing the real numbers that generalizes IEEE, POSITS, and related floating-point number systems, and which has its roots in universal codes for the positive integers such as the Elias codes. This framework unifies several known but seemingly unrelated representations within a single schema while also introducing new representations.”

HPE: Design Challenges at Scale

Jimmy Daley from HPE gave this talk at the HPC User Forum in Tucson. “High performance clusters are all about high speed interconnects. Today, these clusters are often built out of a mix of copper and active optical cables. While optical is the future, the cost of active optical cables is 4x – 6x that of copper cables. In this talk, Jimmy Daley looks at the tradeoffs system architects need to make to meet performance requirements at reasonable cost.”

Quantum Computing: Its Principles, Capabilities and Challenges

Dr. Mark Mattingley-Scott from IBM gave this talk at the Swiss HPC Conference. “Quantum Computing is here, right now – and we are at the start of a new way of computing, which will impact us the way the revolution started by Shockley, Bardeen and Brattain did in 1947. In this talk I will introduce Quantum Computing, its principles, capabilities and challenges and provide you with the insight you need to decide how you should engage with this revolutionary technology.”

Let’s Talk Exascale: Making Software Development more Efficient

In this episode of Let’s Talk Exascale, Mike Heroux from Sandia National Labs describes the Exascale Computing Project’s Software Development Kit, an organizational approach to reduce the complexity of the project management of ECP software technology. “My hope is that as we create these SDKs and bring these independently developed products together under a collaborative umbrella, that instead of saying that each of these individual products is available independently, we can start to say that an SDK is available.”

CIARA steps up to High Frequency Trading and Blockchain with AMD

CIARA just announced new AMD-based systems for ultra-low latency, high Frequency Trading and Blockchain solutions. “With the adoption of new technologies such as large core count processors and the usage of ECC memory, the path for all financial enterprises to reap the benefits of safe hardware acceleration without compromising reliability is getting easier,” said Patrick Scateni, Vice President of Enterprise and Performance Group at CIARA. “The joint solutions coming from the CIARA and AMD will bring high-performance and broader choice of compute platforms to the FSI market.”

Deep Learning at Scale for Cosmology Research

In this video from Google I/O 2018, Debbie Bard from NERSC describes Deep Learning at scale for cosmology research. “Debbie Bard is acting group lead for the Data Science Engagement Group at the National Energy Research Scientific Computing Center (NERSC) at Berkeley National Lab. A native of the UK, her career spans research in particle physics, cosmology and computing on both sides of the Atlantic.”

Job of the Week: High Performance Software Developer at The Aerospace Corporation

The Aerospace Corporation is Virginia is seeking High Performance Software Developer in our Job of the Week. “You will code high-performance technical computing applications in the areas of space system modeling, architecture performance assessment, and mission planning and scheduling.”