OCF has successfully achieved Elite Partner status with NVIDIA I the competency of Accelerated Computing.
Robert Roe reviews the latest in accelerator technology and finds that GPUs and coprocessors will be key fixtures in the future of deep learning
NVIDIA and Barcelona Supercomputing Center have presented a real-time interactive visualisation of a cardiac computational model that shows the potential of HPC-based simulation codes and GPU-accelerated clusters to simulate the human cardiovascular system.
IBM and Stone Ridge Technology today announced that they have acheived a new performance milestone in reservoir simulation that will improve efficiency and lower the cost of production.
The Tokyo Institute of Technology has announced plans to build a new supercomputer designed to accelerate Artificial Intelligence (A.I) research.
NVIDIA has introduced a range of Quadro products, all based on its Pascal architecture, that transform desktop workstations into supercomputers with breakthrough capabilities for professional workflows across many industries.
Robert Roe investigates the use of technologies in HPC that could help shape the design of future supercomputers
NVIDIA today announced availability of the production release of NVIDIA CUDA 6.5, the latest version of the worlds most pervasive parallel computing platform and programming model
Nvidia has announced Iray, a GPU rendering appliance that accelerates ray tracing using Nvidia GPU clusters
ArrayFire has announced the release of ArrayFire v2.0
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
