“Have you simplified your HPC environment or improved productivity with the use of PBS Works products? If so, Altair invites you to share your experiences, tips and tricks and practical lessons through case study style presentations that highlight the effective use of high performance computing. The PBS Works User Group encourages input and participation from a wide range of organizations, large and small, across all sectors.”
With more and more enterprises moving to the cloud, there is a growing demand for developers, information technology professionals, and forward-thinking business leaders with demonstrated knowledge of cloud computing. To meet this need, Amazon Web Services has announced AWS Educate, a major initiative designed to fundamentally transform how cloud computing is taught and how best practices are shared in higher education.
“Learn about extensions that enable efficient use of Partitioned Global Address Space (PGAS) Models like OpenSHMEM and UPC on supercomputing clusters with NVIDIA GPUs. PGAS models are gaining attention for providing shared memory abstractions that make it easy to develop applications with dynamic and irregular communication patterns. However, the existing UPC and OpenSHMEM standards do not allow communication calls to be made directly on GPU device memory. This talk discusses simple extensions to the OpenSHMEM and UPC models to address this issue.”
“We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning. The key components are a custom-built supercomputer dedicated to deep learning, a highly optimized parallel algorithm using new strategies for data partitioning and communication, larger deep neural network models, novel data augmentation approaches, and usage of multi-scale high-resolution images.”
In this video from WestGrid in Canada, Dr. Yussanne Ma from the Michael Smith Genome Sciences Centre describes how high performance computing supports her research group’s work, highlighting a recent project where a bioinformatics pipeline was built for the personalized onco-genomics project (POG) at the BC Cancer Agency.
“Our computing systems continue to evolve, providing significant challenges to the programming teams managing large, long-lived projects. Issues include rapidly increasing on-node parallelism, varying forms of heterogeneity, deepening memory hierarchies, growing concerns around resiliency and silent data corruption, and worsening storage bottlenecks.”