| News & Releases |
| Here are the very latest news from SiSoftware: |
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2009 SP2
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SP2 for SiSoftware Sandra 2009 Released: Graphics and GPGPU Support: London, UK, December 11, 2008 - Software has announced the availability of Service Pack 2 (SP2) for SiSoftware Sandra 2009, the latest version of its award-winning utility.
The focus of this service release has been improved support, compatibility and reliability rather than new features. We have been working closely with more hardware vendors than before to be able to bring greater direct support of an increased market share of commodity and server technologies.
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Benchmarking 101
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Benchmarking in Detail: London, UK, September 30th 2008 - We have started a series of articles to detail the new (and existing) benchmarks of the latest version, Sandra 2009. Learn what they do, how their work and what the results mean. How do current devices (CPUs, GPUs, GPGPUs, memory, drives, etc.) compare and how future, soon to be released devices fare?
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2009
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SiSoftware Sandra 2009 Released: Graphics and GPGPU Support: London, UK, September 1st 2008 - We are pleased to launch SiSoftware Sandra 2009, the latest version of our award-winning utility, which includes remote analysis, benchmarking and diagnostic features for PCs, servers and networks.
This version introduces additional support in the graphics performance space. Not only including support for DirectX (9/10), SiSoftware has added two GPGPU (General Purpose Graphics Processing Unit) benchmarks, that focus on this new computing processing space. This version adds dedicated benchmarks that measure cryptographic performance. more...
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GPGPU
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SiSoftware GPGPU Benchmarks Released: London, UK, September 1st 2008 - SiSoftware releases its suite of GPGPU (General Purpose Graphics Processor Unit) benchmarks as part of the SiSoftware Sandra 2009.
At SiSoftware we constantly look out for new technology and aim to understand how that technology can best be benchmarked and analysed. We believe the industry is seeing a shift from the model where heavy computational workload is processed on a traditional CPU to a model that uses the GPGPU instead: in a wide range of applications developers are using the power of GPGPU to aid business analysis, games, graphics and scientific applications. more...
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Archived News
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