Today Sylabs announced Beta 1 release of Singularity Desktop for macOS, which allows Linux containers to be designed, built, tested, and signed/verified on macOS. Designed to meet the needs of High Performance Computing, Singularity provides a single universal on-ramp from developers’ workstations to local resources, the cloud, and all the way to edge. “At the inaugural meeting of the Singularity User Group (SUG) this past March at SDSC in San Diego, we officially embarked upon an important journey — a journey whose outcome is to ultimately transform that ‘attractive spectator’ (a.k.a. your macOS laptop or desktop) into a bona fide platform for computing. The transformation is being realized through the introduction of Singularity Desktop — software that allows users to design, build, test, and sign/verify Linux-based Singularity containers on macOS. Thus the purpose of this post is to hereby announce the next milestone in this important journey: availability of the first beta release of Singularity Desktop.”
Job of the Week: Software Engineer for Scientific and Math Libraries at Cray
Cray in Minnesota is seeking a Software Engineer for Scientific and Math Libraries in our Job of the Week. “The Cray Scientific and Math Libraries group has an opening for a motivated and skilled low-level software engineer to design and develop state of the art numerical libraries for Cray’s current and future supercomputers. The group develops high-performance linear algebra and Fourier transform libraries for Cray systems.”
D-Wave Releases of D-Wave Hybrid Workflow Platform to Open Source
Today D-Wave Systems announced the general availability of D-Wave Hybrid, a simple open-source hybrid workflow platform for building and running quantum-classical hybrid applications. “Most quantum computing projects we’ve worked on in the past have relied on a classical hybrid quantum-classical approach. The release of D-Wave Hybrid has allowed us to prototype these hybrid approaches much faster than before, and gives us the algorithmic control required to customize different parts to suit our needs.”
CUDA-X HPC: Libraries and Tools for your Next Scientific Breakthrough
Today NVIDIA announced CUDA-X HPC, a collection of libraries, tools, compilers and APIs that helps developers solve the world’s most challenging problems. “CUDA-X HPC includes highly tuned kernels essential for high-performance computing. GPU-accelerated libraries for linear algebra, parallel algorithms, signal and image processing lay the foundation for compute-intensive applications in areas such as computational physics, chemistry, molecular dynamics, and seismic exploration.”
NVIDIA Brings CUDA to Arm for HPC
Today NVIDIA announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. “NVIDIA is making available to the Arm ecosystem its full stack of AI and HPC software — which accelerates more than 600 HPC applications and all AI frameworks — by year’s end. The stack includes all NVIDIA CUDA-X AI and HPC libraries, GPU-accelerated AI frameworks and software development tools such as PGI compilers with OpenACC support and profilers.”
Video: Jack Wells from ORNL on his new role as VP of OpenACC.org
Today OpenACC.org announced a newly elected vice president reflecting increased user influence within the organization. Additionally, the organization announced its 2019 Annual Meeting will be hosted by RIKEN Center for Computational Science (RIKEN R-CCS) in Japan, as well as the schedule of upcoming hackathons and bootcamps around the world.
Video: Portable Programming Models Highlighted at PASC19
In this video from PASC19 in Zurich, Technical Papers co-chair Sunita Chandrasekaran provides some highlights from the conference. After that, Sunita previews the upcoming Workshop on Performance Portable Programming Models for Accelerators (P3MA) at ISC 2019. “This workshop will provide a forum to bring together researchers and developers to discuss community’s proposals and solutions to performance.”
Appentra Releases Parallelware Trainer 1.2
Appentra is pleased to announce the release of Parallelware Trainer 1.2, further improving the provision of accessible HPC and parallel programming training using OpenMP and OpenACC. “Appentra has a clear goal: to make parallel programming easier, enabling everyone to make the best use of parallel computing hardware from the multi-cores in a laptop to the fastest supercomputers. Parallelware Trainer 1.2 provides an enhanced interactive learning environment, including provision for a knowledge base designed around the code being developed and several parallelization paradigms, including multithreading, tasking and offloading to GPUs.”
Podcast: Achieving Low Latency with the SPDK Storage Performance Development Kit
In this Intel Chip Chat podcast, Dr. Felipe Franciosi from Nutanix and Nate Marushak from Intel describe how the open source reference library called SPDK (Storage Performance Development Kit) brings higher performance to the data center. “A decade ago, when slow hard disk drives were the heart of a data center, efficiency was improved by designing software to avoid accessing physical media. Innovations in persistent memory and in networking technology have already brought vast improvements. For systems that are latency-sensitive, applying SPDK can address software bottlenecks and open the way to even higher performance.”
Are Memory Bottlenecks Limiting Your Application’s Performance?
Often, it’s not enough to parallelize and vectorize an application to get the best performance. You also need to take a deep dive into how the application is accessing memory to find and eliminate bottlenecks in the code that could ultimately be limiting performance. Intel Advisor, a component of both Intel Parallel Studio XE and Intel System Studio, can help you identify and diagnose memory performance issues, and suggest strategies to improve the efficiency of your code.
