SE: GPU acceleration is having a major impact on the design and production of masks and other process technologies. What applications is GPU acceleration best suited for? Fujimura: There are many ...

In the early days of GPU-accelerated supercomputers, accelerators were installed with the mission of delivering ultra-high performance for a few select codes. This was mostly because the ecosystem of ...

SE: There seems to be a parallel growth between the adoption of machine learning and GPUs. Is the need for machine learning driving GPU adoption, or are GPUs creating the opportunity to embrace ...

is a senior editor and author of Notepad, who has been covering all things Microsoft, PC, and tech for over 20 years. Adobe is releasing a new update to Premiere Pro this week that includes hardware ...

At SC19, NVIDIA announced the availability of a new kind of GPU-accelerated supercomputer in the cloud on Microsoft Azure. Built to handle the most demanding AI and high performance computing ...

Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...

What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

GPU-accelerated electromagnetic simulation is redefining how engineers design and validate antennas in complex, electrically ...

Microsoft has introduced a new interesting feature in Windows that is named Hardware-accelerated GPU Scheduling. This feature is part of the WDDM 2.7, which effectively reduces latency and increases ...