In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Parallel processing improvements have also been reported through hybrid CPU/GPU algorithms that intelligently balance the computational load between host and device, leading to significant ...

"As a result, the CPU scaling predicted by Moore's Law is now dead," Dally suggests, before suggesting that parallel computing will be our saviour.

LONDON — Graphics core licensor Imagination Technologies Group plc (Kings Langley, England) is preparing compilers that will be able to assign tasks across both graphics and general-purpose processing ...

Fujitsu developed two new technologies designed to optimize CPU and GPU workloads on powerful HPC systems. The company is working to allocate resources in real-time to better ...

Nvidia is the market leader in AI chips thanks to its Hopper and Blackwell GPUs. Intel is fighting to maintain its advantage ...

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.

It’s exactly the embarrassingly parallel problems that exhibit massive data parallelism, and so they are the problems that show the best speed-ups by shifting the processing from the CPU to the GPU.