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 ...

In this special guest feature from Scientific Computing World, Tom Wilkie describes how remote visualization fits into the intersection of big data, the cloud, and HPC. Imagine, for a moment, that you ...

SAN JOSE, Calif., Sept. 21 /PRNewswire/ — GPU Technology Conference 2010 (GTC) – PNY, a leading supplier of NVIDIA Quadro professional graphics solutions to system integrators, value-added resellers, ...

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 ...

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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

NVIDIA has launched an open source project called Real-time Acceleration Platform for Integrated Data Science (RAPIDS) that aims to deliver end-to-end data science infrastructure based on GPUs.