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 ...

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 ...

RIKEN is collaborating with Fujitsu Limited and NVIDIA on an initiative to develop "FugakuNEXT," which RIKEN called Japan's ...

Technical Terms Graphics Processing Unit (GPU): A specialised processor designed to expedite parallel computations, particularly useful in handling large-scale data processing and rendering tasks.

DataPelago’s powerful new data engine comes amid a shaky week for AI investment and Nvidia’s earnings next week. DataPelago ...

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

The "Data Center GPU Companies Quadrant" report offers an in-depth analysis of the global GPU market, spotlighting leading companies and industry trends. Evaluating over 112 firms, the report ...

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.

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

Variable Length String As Data Type: For hash join operations, Nucleus achieves up to 38.6x faster throughput compared to cuDF for smaller strings while up to 4x faster for larger strings. Nucleus ...