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Atos Quantum Learning Machine can now simulate real Qubits

Researchers at the Atos Quantum Laboratory have successfully modeled ‘quantum noise’ and as a result, simulation is more realistic than ever before, and is closer to fulfilling researchers’ requirements. “We are thrilled by the remarkable progress that the Atos Quantum program has delivered as of today,” said Thierry Breton, Chairman and CEO of Atos.

Barbara Chapman Joins Board of OpenMP ARB

Today the OpenMP Architecture Review Board (ARB) announced the appointment of Barbara Chapman to its Board of Directors. “We are delighted to have Prof. Chapman join the OpenMP Board”, says Partha Tirumalai, chairman of the OpenMP Board of Directors. “Her decades of experience in high-performance computing and education will enhance the value OpenMP brings to users all over the world.”

Let’s Talk Exascale: Developing Low Overhead Communication Libraries

In this episode of Let’s Talk Exascale, Scott Baden of LBNL describes the Pagoda Project, which seeks to develop a lightweight communication and global address space support for exascale applications. “What our project is addressing is how to keep the fixed cost as small as possible, so that cutting-edge irregular algorithms can efficiently move many small pieces of data efficiently.”

Let’s Talk Exascale: Software Ecosystem for High-Performance Numerical Libraries

In this Let’s Talk Exascale podcast, Lois Curfman McInnes from Argonne National Laboratory describes the Extreme-scale Scientific Software Development Kit (xSDK) for ECP, which is working toward a software ecosystem for high-performance numerical libraries. “The project is motivated by the need for next-generation science applications to use and build on diverse software capabilities that are developed by different groups.”

Intel AVX Gives Numerical Computations in Java a Big Boost

Recent Intel® enhancements to Java enable faster and better numerical computing. In particular, the Java Virtual Machine (JVM) now uses the Fused Multiply Add (FMA) instructions on Intel Intel Xeon® PhiTM processors with Advanced Vector Instructions (Intel AVX) to implement the Open JDK9 Math.fma()API. This gives significant performance improvements for matrix multiplications, the most basic computation found in most HPC, Machine Learning, and AI applications.

Lenovo Updates LiCO Tools to Accelerate AI Deployment

Over at the Lenovo Blog, Dr. Bhushan Desam writes that the company just updated its LiCO tools to accelerate AI deployment and development for Enterprise and HPC implementations. “LiCO simplifies resource management and makes launching AI training jobs in clusters easy. LiCO currently supports multiple AI frameworks, including TensorFlow, Caffe, Intel Caffe, and MXNet. Additionally, multiple versions of those AI frameworks can easily be maintained and managed using Singularity containers. This consequently provides agility for IT managers to support development efforts for multiple users and applications simultaneously.”

NVIDIA Releases PGI 2018 Compilers and Tools

Today NVIDIA announced the availability of PGI 2018. “PGI is the default compiler on many of the world’s fastest computers including the Titan supercomputer at Oak Ridge National Laboratory. PGI production-quality compilers are for scientists and engineers using computing systems ranging from workstations to the fastest GPU-powered supercomputers.”

Univa Open Sources Project Tortuga for moving HPC Workloads to the Cloud

Today Univa announced the contribution of its Navops Launch product to the open source community as Project Tortuga under an Apache 2.0 license. The free and open code is designed to help proliferate the transition of enterprise HPC workloads to the cloud. “Having access to more software that applies to a broad set of applications like high performance computing is key to making the transition to the cloud successful,” said William Fellows, Co-Founder and VP of Research, 451 Research. “Univa’s contribution of Navops Launch to the open source community will help with this process, and hopefully be an opportunity for cloud providers to contribute and use Tortuga as the on-ramp for HPC workloads.”

Accelerating HPC Applications on NVIDIA GPUs with OpenACC

Doug Miles from NVIDIA gave this talk at the Stanford HPC Conference. “This talk will include an introduction to the OpenACC programming model, provide examples of its use in a number of production applications, explain how OpenACC and CUDA Unified Memory working together can dramatically simplify GPU programming, and close with a few thoughts on OpenACC future directions.”

The Mont-Blanc project: Updates from the Barcelona Supercomputing Center

Filippo Mantovani from BSC gave this talk at the GoingARM workshop at SC17. “Since 2011, Mont-Blanc has pushed the adoption of Arm technology in High Performance Computing, deploying Arm-based prototypes, enhancing system software ecosystem and projecting performance of current systems for developing new, more powerful and less power hungry HPC computing platforms based on Arm SoC. In this talk, Filippo introduces the last Mont-Blanc system, called Dibona, designed and integrated by the coordinator and industrial partner of the project, Bull/ATOS.”