Created in 1993, the CPU-based VTK software has been wildly successful, and because of its open-source license, it has been widely adopted by the scientific community. The well-known ParaView and ...

Conventional wisdom says that choosing between a GPU versus CPU architecture for running scientific visualization workloads or irregular code is easy. GPUs have long been the go-to solution, although ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Scientific visualisation and volume rendering techniques play a critical role in transforming complex, multidimensional datasets into accessible visual representations. These methods are essential for ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

The parallel processing power of the GPU is being brought to analytics by some innovative startups, promising new levels of performance The SQL database dates back to the 1970s and has been an ANSI ...