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 ...

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 ...

Huang noted that GPU-based systems can better optimize performance, accelerating processing by up to 50 times compared to CPU-based systems.

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

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

GPU parallel computing enables GPUs to break complex problems into thousands or millions of separate tasks and work them out all at once instead of one-by-one as a CPU is required to do.

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 ...

Oak Ridge National Laboratory, in partnership with Quantum Brilliance, has installed a Quantum Brilliance computer system at ...