InfoQ Homepage GPU Content on InfoQ
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Moonlight Leaps Ahead of Silverlight with Hardware Accelerated Pixel Shaders
Recently David Reveman added significant amounts of hardware rendering to Novel’s Moonlight. This puts it in the lead over Silverlight, offers only a limited amount of hardware rendering support.
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Aparapi: New, “Pure Java” API for Executing Arbitrary Compute Tasks on GPUs Unveiled at JavaOne
InfoQ catches up with Gary Frost from AMD who unveiled an alpha release of Aparapi, an API that allows programmers to write logic in Java to be executed on a GPU. GPUs are the massively parallel hardware acceleration chips originally installed in PCs to boost graphics rendering performance but that are now pushed to other kinds of compute-intensive tasks that have nothing to do with graphics.
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Microsoft Has Released Windows HPC Server 2008 R2 Suite
Windows HPC Server 2008 R2 Suite is the latest HPC solution from Microsoft in the technical computing initiative called Modeling the World. Some of the new features include: workstations clusters, accessing the cloud, using SOA, services for Excel, and GPU support.
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LINQ on GPU with Brahma
Brahma is an open source C# library that provides support for parallel computations running on a variety of processors. Currently, Brahma has a GPU provider but its modular structure allows using different providers for other types of processors. One C# method can contain both statements running on CPU and GPU without additional glue code.