NVIDIA has released the first public OpenCL conformant GPU drivers as well as a powerful performance profiling tool and an OpenCL Best Practices Guide. The OpenCL Visual Profiler uses the extensive performance instrumentation in NVIDIA’s OpenCL drivers and hardware performance signals designed into NVIDIA GPUs to provide developers with insight into performance bottlenecks and opportunities for optimization. The OpenCL Best Practices Guide designed to help OpenCL developers programming for the CUDA architecture implement high performance parallel algorithms and understand best practices for GPU Computing. The OpenCL drivers, Visual Profiler, and Best Practices Guide are all available on the NVIDIA developers website.
The upcoming Palm Pixi will have the new MSM7627 chipset from Qualcomm giving close to the same performance as the Pre. Featuring two ARM cores integrated as a single chip – a dedicated CPU core and a dedicated modem processor – 320MHz application DSP for multimedia supporting full 30 fps WVGA encode/decode, 200MHz hardware-accelerated 3D graphics core supporting OpenGL ES 2.0, high-resolution camera and integrated GPS.
While OpenCL is very similar in many respects to NVIDIA’s CUDA, it adds features to take advantage of other targets; and though it’s quite complex, it has the potential to deliver very high performance, and is much easier than trying to map your computation into OpenGL or graphics primitives. So says Michael Wolfe, with over 30 years in both academia and industry on developing compilers, and is now a senior compiler engineer at The Portland Group, Inc., a wholly-owned subsidiary of STMicroelectronics, Inc.
NVIDIA released a new OpenCL Visual Profiler for Windows and Linux for developers. Leveraging the extensive performance instrumentation in NVIDIA’s OpenCL drivers and hardware performance signals designed into NVIDIA GPUs, the OpenCL Visual Profiler provides developers with insight into performance bottlenecks and opportunities for optimization. NVIDIA also released a Best Practices guide for OpenCL.
All NVIDIA CUDA-Enabled GPUs Shipped by Apple Supported under New Operating System. OpenCL on the NVIDIA® CUDA™ architecture enables applications to use the CPU and the GPU together as co-processors. NVIDIA’s integration of the CUDA architecture across its brands and segments enables it to offer Apple users a broad selection of 10 GPU models officially supported by Snow Leopard.
Mentor Graphics announced the integration of its Nucleus® Graphics User Interface (GUI) with the ARM Mali graphics processing unit (GPU) family of acceleration solutions. Integrating the Nucleus Graphics GUI solution with the Mali-200 GPU makes it possible for graphic artists and usability specialists to exploit the potential of this advanced 3D accelerator. The Nucleus Graphics product abstracts the complexity of the OpenGL ES API to enable anyone to incorporate sophisticated 3D effects such as lighting, spinning, fading, twisting and zooming into their GUI designs without any programming knowledge.
Jon Peddie has issued a press release stating that 2010 will show the graphics industry making a spectacular comeback, after the dismal 2009 year. “Architectural changes like Intel’s Nehalem and new product introductions from AMD, ATI, Intel, and Nvidia are going to be disruptive to the status quo” says Jon Peddie. Snow Leopard and Windows 7 will also act as a catalyst to spur on the continuing expansion of GPGPU, otherwise known as GPU compute. OpenCL along with DirectX and NVIDIA’s CUDA will go even further in making the GPU a “serious, economical, and powerful coprocessor in all level of PCs.”
ARMs Mali-400 MP GPU is now the first and only multicore GPU to pass the rigorous conformance tests specified by The Khronos Group. The Mali-400 GPU has achieved Khronos conformance for all of the three major graphics APIs required by ARM Partners: OpenVG, OpenGL ES 1.1 and OpenGL ES 2.0. Conformance to the Khronos standards brings accredited Mali GPUs to multiple markets – from cellular handsets and personal navigation devices to digital TV, set-top box and digital picture frames.
NVIDIA Corporation announced that its inaugural GPU Technology Conference will take place September 30 to October 2, 2009. The event will focus on how developers, engineers, and researchers are using the GPU to solve the world’s most important computing challenges. The conference will encompass three simultaneous events—the Emerging Companies Summit, the GPU Developer Summit, and the NVIDIA Research Summit. The GPU Developer Summit will be a 3-day series of technical presentations, tutorials and panels aimed at developers of consumer, professional and high performance computing applications looking to exploit more of the GPU’s parallel processing power using industry-standard languages such as C/C++ and Fortran as well as APIs such as Direct3D, DirectX Compute, OpenCL™ and OpenGL.