AMD’s motivation for developing these open-source GPU tools is based on an opportunity to remove the added complexity of proprietary programming frameworks to GPU application development. “If successful, these tools – or similar versions – could help to democratize GPU application development, removing the need for proprietary frameworks, which then makes the HPC accelerator market much more competitive for smaller players. For example, HPC users could potentially use these tools to convert CUDA code into C++ and then run it on an Intel Xeon co-processor.”
The Heterogeneous System Architecture (HSA) Foundation has released the HSA 1.1 specification, significantly enhancing the ability to integrate open and proprietary IP blocks in heterogeneous designs. The new specification is the first to define the interfaces that enable IP blocks from different vendors to communicate, interoperate and collectively compose an HSA system.
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 Ohio Supercomputer Center has named its newest HPC cluster after Olympic champion Jesse Owens. The new Owens Cluster will be powered by Dell PowerEdge servers featuring the new Intel Xeon processor E5-2600 v4 product family, include storage components manufactured by DDN, and utilize interconnects provided by Mellanox. “Our newest supercomputer system is the most powerful that the Center has ever run,” ODHE Chancellor John Carey said in a recent letter to Owens’ daughters. “As such, I thought it fitting to name it for your father, who symbolizes speed, integrity and, most significantly for me, compassion as embodied by his tireless work to help youths overcome obstacles to their future success. As a first-generation college graduate, I can relate personally to the value of mentors in the lives of those students.”
Gregory Stoner from AMD presented this talk at the HPC User Forum. “With the announcement of the Boltzmann Initiative and the recent releases of ROCK and ROCR, AMD has ushered in a new era of Heterogeneous Computing. The Boltzmann initiative exposes cutting edge compute capabilities and features on targeted AMD/ATI Radeon discrete GPUs through an open source software stack. The Boltzmann stack is comprised of several components based on open standards, but extended so important hardware capabilities are not hidden by the implementation.”
Researchers at the Canadian Hydrogen Intensity Mapping Experiment (CHIME) will harness AMD FirePro S9300 x2 Server GPUs to analyze extraordinary amounts of data to help create a new, very detailed 3D map of the largest volume of the Universe ever observed. “Not only is the new AMD FirePro S9300 x2 Server GPU the world’s fastest single-precision GPU accelerator, it is also the world’s first professional GPU accelerator to be equipped with High Bandwidth Memory and the first to fully support the Radeon Open Compute platform – an integral element of the GPUOpen compute initiative.”
Today AMD announced that CGG, a pioneering global geophysical services and equipment company, has deployed AMD FirePro S9150 server GPUs to accelerate its geoscience oil and gas research efforts, harnessing more than 1 PetaFLOPS of GPU processing power. Employing AMD’s HPC GPU Computing software tools available on GPUOpen.com, CGG rapidly converted its in-house Nvidia CUDA code to OpenCL for seismic data processing running on an AMD FirePro S9150 GPU production cluster, enabling fast, cost-effective GPU-powered research.
“HBM is a new type of CPU/GPU memory (“RAM”) that vertically stacks memory chips, like floors in a skyscraper. In doing so, it shortens your information commute. Those towers connect to the CPU or GPU through an ultra-fast interconnect called the “interposer.” Several stacks of HBM are plugged into the interposer alongside a CPU or GPU, and that assembled module connects to a circuit board. Though these HBM stacks are not physically integrated with the CPU or GPU, they are so closely and quickly connected via the interposer that HBM’s characteristics are nearly indistinguishable from on-chip integrated RAM.”
Today One Stop Systems showcased its High Density Compute Accelerator (HDCA) with AMD FirePro S9170 GPUs at SC15. The HDCA, with sixteen AMD FirePro S9170 GPUs, provides up to 84 Tflops of peak single precision and 512GB of GPU memory. The HDCA is a complete appliance, cabled from one to four host servers through PCIe x16 Gen3 connections and perfect for adding compute power to any HPC application.