NVIDIA announced today that its new Quadro K5000 GPU will be available on Apple Mac Pro. Based on Nvidia’s internal tests, the Kepler architecture enables the Quadro K5000 GPU for Mac to run key content-creation applications up to twice as fast at lower power than the Fermi-based Quadro 4000 for Mac, while the new chips also provide support for OpenGL and OpenCL.
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Jem Davies, self proclaimed "Godfather" to technical talent in ARM, recaps various high-lights from shows in the past few months.
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The Khronos Group is pleased to announce Dr Tomasz Bednarz as the new Chapter Leader for the Sydney Australia Khronos Group Chapter. Dr Bednarz has an impressive resumé and is active in the GPU community.
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Codeplay's Offload for OpenCL is a tool-set built on top of OpenCL allowing developers to accelerate performance using C++ for any OpenCL supported GPU. It is bundled with a number of kernel library components which can be used to help build C++ based programming models for GPUs.
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AMD CodeXL is a new unified developer tool suite that enables developers to harness the benefits of CPUs, GPUs and APUs. It includes powerful GPU debugging, comprehensive GPU and CPU profiling, and static OpenCL kernel analysis capabilities, enhancing accessibility for software developers to enter the era of heterogeneous computing. AMD CodeXL is available for free, both as a Visual Studio extension and a standalone user interface application for Windows and Linux.
AMD CodeXL increases developer productivity by helping them identify programming errors and performance issues in their application quickly and easily. Now developers can debug, profile and analyze their applications with a full system-wide view on AMD APU, GPU and CPUs.
AMD CodeXL user group (requires registration) allows users to interact with the CodeXL team, provide feedback, get support and participate in the beta surveys.
At SC12, AMD not only got the #1 award for the powerful and energy efficient supercomputer (SANAM) powered primarily by GPUs, AMD also announced an expansion of its software ecosystem by launching a series of tools that will enable HPC developers to take advantage of GPU compute with programming methodologies that integrate OpenCL.
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The new Dynamics in SoC, GPU, and IP markets report from Jon Peddie Research (JPR) covers mobile GPU market and the major devices in which such components are used. An executive report is available along with a table of contents online.
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Altera Corporation announced the release of its Quartus II software version 12.1 design suite for CPLD, FPGA, SoC FPGA and HardCopy ASIC designs. Quartus II bolsters its support for high-level design flows with the inclusion of an SDK for OpenCL, and enhancements to both its Qsys system integration tool and DSP Builder model based design environment.
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The question of whether OpenCL will eventually help displace GPGPU, by facilitating "GP-something-else" - "general-purpose" accelerators which aren't like GPUs is discussed in a whitepaper by Yosef Kreinin. (via Adapteva)
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Do you want to start developing with OpenCL? Be sure to check out the buying advice from StreamComputing before going out to purchase a workstation. In short, you should follow this order when spending your money: Memory, SSD & RAID, Motherboard, Discrete GPU, (Embedded GPU), CPU.
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