“As we see Moore’s Law alive and well, more and more parallelism is introduced into all computing platforms and on all levels of integration and programming to achieve higher performance and energy efficiency. We will discuss Multi- and Many-Core solutions for highly parallel workloads with general purpose and energy efficient technologies. We will also touch on the challenges and opportunities for parallel programming models, methodologies and software tools to achieve highly efficient and highly productive parallel applications. At the end we will take a brief look towards Exascale computing.”
Today Lenovo announced the opening of the company’s first global HPC innovation center, offering a permanent R&D and application benchmarking site as well as a new ecosystem of partners that will collaborate on projects to bring the commercial benefits of HPC to a broader spectrum of clients and workloads.
In the late 1980s, genomic sequencing began to shift from wet lab work to a computationally intensive science; by end of the 1990s this trend was in full swing. The application of computer science and high performance computing (HPC) to these biological problems became the normal mode of operation for many molecular biologists.
“We introduce a high-performance cost-effective network topology called Slim Fly that approaches the theoretically optimal network diameter. Slim Fly is based on graphs that approximate the solution to the degree-diameter problem. We analyze Slim Fly and compare it to both traditional and state-of-the-art networks. Our analysis shows that Slim Fly has significant advantages over other topologies in latency, bandwidth, resiliency, cost, and power consumption.”
“This talk will focus on programming models and their designs for upcoming exascale systems with millions of processors and accelerators. Current status and future trends of MPI and PGAS (UPC and OpenSHMEM) programming models will be presented. We will discuss challenges in designing runtime environments for these programming models by taking into account support for multi-core, high-performance networks, GPGPUs, Intel MIC, scalable collectives (multi-core-aware, topology-aware, and power-aware), non-blocking collectives using Offload framework, one-sided RMA operations, schemes and architectures for fault-tolerance/fault-resilience.”
The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. This guide to Open Computing is design to help organizations optimize their HPC environment to achieve higher performance at a lower operating cost.