"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.

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 ...

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 ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

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 ...

Posted in computer hacks Tagged CPU architecture, gpu, parallel computing ← Piezo Sensor Reviewed Booting A Desktop PDP-11 → ...

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.

The authors studied the technologies of GPU (Graphics Processing Unit) parallel computing and its optimized design for cryptography.

Japan's scientific community is charting an ambitious path forward in high-performance computing with FugakuNEXT, a supercomputer that aims to leap beyond current exascale systems and reach ...