In this special guest feature, Tom Wilkie from Scientific Computing World reports how the launch of its HPC innovation centre in Stuttgart yesterday shows the company’s commitment to HPC.
“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.”
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.
“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.”
In this podcast, Dr. Rudy Tanzi from Harvard Medical School describes his pioneering research in Alzheimer’s disease and how HPC is critical to the path forward. “Dr. Tanzi currently spearheads the Alzheimer’s Genome Project, which recently identified four new AD gene candidates. This achievement was named one of the “Top Ten Medical Breakthroughs of 2008” by Time Magazine.”
Ocean modelling is complex from an algorithm standpoint and can require significant amounts of computing power to arrive at a simulation endpoint. However, many of the calculations that are contained in the simulation can be distributed among a cluster of systems and used on shared memory systems as well.
Today Quanta Cloud Technology (QCT) announced plans to build the first x86 CPU-based servers with Nvidia’s NVLink high-speed GPU interconnect technology. “NVLink unlocks the full potential of GPU accelerators by enabling CPUs and GPUs to transfer data at unprecedented speeds,” said Sumit Gupta, general manager of the Accelerated Computing business at NVIDIA. “QCT extends the benefits of NVLink to the x86 ecosystem and gives our customers an easy path to higher levels of enterprise and HPC application performance.”