The MVAPICH User Group (MUG) meeting has issued its Call for Presentations. The event takes place August 15-17 in Columbus, Ohio.
The International Workshop on Communication Architectures at Extreme Scale has published its Advance Agenda. Now in its second year, Exacom 2016 will be held in conjunction with ISC 2016 in Frankfurt on Thursday, June 23, 2016.
In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA.”
Today AMD announced the Multiuser GPU (MxGPU) for blade servers, a new graphics virtualization solution that provides workstation-class experience. Now available HPE ProLiant WS460c Gen9 blade servers, the AMD FirePro S7100X GPU is the industry’s first and only hardware-virtualized GPU that is compliant with the SR-IOV (Single Root I/O Virtualization) PCIe virtualization standard. The AMD FirePro S7100X GPU is […]
Today Bright Computing announced that Sri Sathya Sai Institute of Higher Learning (SSSIHL) in India has chosen Bright infrastructure management technology to manage its HPC environment. This heterogeneous and hybrid cluster at SSSIHL is the first step towards achieving a self-sufficient HPC facility for the Institute’s research work, and we are pleased that Bright is […]
“The promising new parameter in place of the transistor count is the perceived increase in the capacity and bandwidth of storage, driven by device, architectural, as well as packaging innovations: DRAM-alternative Non-Volatile Memory (NVM) devices, 3-D memory and logic stacking evolving from VIAs to direct silicone stacking, as well as next-generation terabit optics and networks. The overall effect of this is that, the trend to increase the computational intensity as advocated today will no longer result in performance increase, but rather, exploiting the memory and bandwidth capacities will instead be the right methodology.”
Today AMD, ARM, Huawei, IBM, Mellanox, Qualcomm, and Xilinx announced a collaboration to bring the CCIX high-performance open acceleration framework to data centers. The companies are collaborating on the specification for the new Cache Coherent Interconnect for Accelerators (CCIX). For the first time in the industry, a single interconnect technology specification will ensure that processors using different instruction set architectures (ISA) can coherently share data with accelerators and enable efficient heterogeneous computing – significantly improving compute efficiency for servers running data center workloads.
“With NVIDIA GPU technology on IBM Cloud, we are one step closer to offering supercomputing performance on a pay-as-you-go basis, which makes this new approach to tackling big data problems accessible to customers of all sizes,” says Jerry Gutierrez, HPC leader for SoftLayer, an IBM Company. “We’re at an inflection point in our industry, where GPU technology is opening the door for the next wave of breakthroughs across multiple industries.”
Steve Oberlin, chief technology officer for accelerated computing at NVIDIA, will give two NCSA 30th Anniversary Featured Lectures on May 26. The morning talk is tailored for NCSA staff, Computer Science, and Electrical and Computer Engineering students and faculty. The second talk is open to the public.
Any performance improvements that could be wrung out of supercomputers by adding more power have long been exhausted. New supercomputers demand new options that will give scientists a sleek, efficient partner in making new discoveries such as the new supercomputer called Summit that’s being developed and is to arrive at Oak Ridge National Lab in the next couple of years. “If necessity is the mother of invention, we’ll have some inventions happening soon,” says deputy division director of Argonne Leadership Computing Facility Susan Coghlan.