Developments
General purpose computing on graphics processor. From rendering to massively parallel computing

NVIDIA Pascal and Volta

New generations of GPUs are seeing the widespread use of HBM (High Bandwidth Memory) stacked on the same substrate, reaching 32 GB and 1 TB/s throughput. This is also the case for FP16 and FP32 mixed-precision floating-point operators. Doubling performance at low 16-bit precision is particularly interesting for many applications in image processing and deep learning using neural networks, for example. AMD is also following this path.

AMD Radeon 400 GPUs and APUs

A major evolution concerns the integration of CPUs and GPUs on the same chip. After the Fusion range, AMD is now developing its APU (Accelerated Processing Unit) offering, with...