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    NVIDIA Adds OpenCL to its Industry Leading GPU Computing Toolkit
    Posted by Julie Morgan on Monday December 08 2008 @ 09:01PM EST

    NVIDIA Corporation today announced its full support for the newly released OpenCL 1.0 specification from the Khronos Group. OpenCL (Open Computing Language) is a new compute API that allows developers to harness the massive parallel computing power of the GPU. The addition of OpenCL is another major milestone in the GPU revolution that gives NVIDIA developers another powerful programming option.

    NVIDIA kicked off the GPU computing revolution with the introduction of NVIDIA® CUDA™, its massively parallel computing ISA and hardware architecture. CUDA was designed to natively support all parallel computing interfaces and will seamlessly run OpenCL. Enabled on over 100 million NVIDIA GPUs, CUDA has unleashed unprecedented performance boosts across a wide range of applications and provides a huge installed base for the deployment of compute applications using OpenCL. With support for other industry standard languages such as C, Java, Fortran and Python, only the CUDA architecture provides developers with a choice of programming environments to aid the rapid development of compute applications on the GPU.

    First introduced with the NVIDIA® GeForce® 8800 GPU and standard across all NVIDIA’s modern GPUs, CUDA is the foundation of NVIDIA’s parallel computing strategy. CUDA has had a tremendous reception from the world’s research community with scientists seeing up to a 20-200x speed-up in their applications with CUDA over a CPU. The CUDA architecture is being built into a wide range of computing systems from supercomputers and workstations to consumer PCs, enabling more than 25,000 developers to actively develop on CUDA today.

    “The arrival of OpenCL is fabulous news for the computing industry and NVIDIA is delighted to be playing a highly active role in the establishment of a new standard that promotes computing on the GPU,” said Manju Hegde, general manager of CUDA at NVIDIA. “We are delighted that Apple has helped spearhead OpenCL. Their recognition that the GPU will now play an essential role in consumer applications is a significant milestone in the history of computing.”

    Vice president of embedded content at NVIDIA, Neil Trevett also holds the position of chair of the OpenCL working group at Khronos.

    “The OpenCL specification is a result of a clearly recognized opportunity from leaders like NVIDIA to grow the total market for heterogeneous parallel computing through an open, cross-platform standard,” said Trevett. “NVIDIA will continue to be very active in the OpenCL working group to drive the evolution of the specification and will support OpenCL on all its platforms, providing developers an additional way to tap into the awesome computational power of our GPUs.”

    About NVIDIA

    NVIDIA is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce® graphics products, the professional design and visualization market with its Quadro® graphics products, and the high-performance computing market with its Tesla™ computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. For more information, visit http://www.nvidia.com


    < CUDA Cleans up at Supercomputing Industry Awards | NVIDIA First to Offer Full Support for OpenGL 3.0 >


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    Golden Eggs
    (HP Visual Diagram and Config Guides)
    ProLiant:
    DL365 System 2600Mhz 2P 1U Opteron Dual Core
    DL360 G5 System 3000Mhz 2P 1U EM64T Dual/Quad Core
    DL385 G2 2600Mhz 2P Opteron Dual Core
    DL380 G5 3000Mhz 2P EM64T Dual/Quad Core
    DL140 3060MHz 2P IA32
    DL140 G2 3600MHz 2P EM64T
    DL145 2600MHz 2P Opteron
    DL360 G4 3400MHz 2P EM64T
    DL360 G4p 3800MHz 2P EM64T
    DL380 G4 3800MHz 2P EM64T
    DL385 2800MHz 2P Opteron
    DL560 3000MHz 4P IA32
    DL580 G3 3330MHz 4P EM64T
    DL585 2800MHz 4P Opteron Dual Core
    Clusters:
    CP3000 32x DL140G2 & DL360G4p GigE EM64T
    CP4000 32x DL145G2 GigE Opteron, Dual Core
    CP4000 64x DL145 GigE Opteron
    CP4000 102x DL145 GigE Opteron
    CP4000 32x DL145 Myri Opteron
    Storage:
    MSA30-MI Dual SCSI Cluster, rx3600, rx6600 and rx2660
    MSA30-MI Dual SCSI Cluster, rx1620...rx4640
    MSA500 G2, SCSI
    MSA1510i IP SAN 48TB, SCSI and SATA
    MSA1500 48TB, SCSI and SATA
    Misc:
    Montecito 2P-16P, Integrity systems, rx2660-rx8640 (multi-system diagram)
    Dual Core AMD64 and EM64T systems with MSA1500
    More Golden Eggs...

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