Trends in Computer Architecture
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NVIDIA TESLA: A UNIFIED GRAPHICS AND COMPUTING ARCHITECTURE
TO ENABLE FLEXIBLE, PROGRAMMABLE GRAPHICS AND HIGH-PERFORMANCE COMPUTING, NVIDIA HAS DEVELOPED THE TESLA SCALABLE UNIFIED GRAPHICS AND PARALLEL
COMPUTING ARCHITECTURE. ITS SCALABLE PARALLEL ARRAY OF PROCESSORS IS MASSIVELY MULTITHREADED AND PROGRAMMABLE IN C OR VIA GRAPHICS APIS.
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Erik Lindholm John Nickolls Stuart Oberman John Montrym NVIDIA
The modern 3D graphics processing unit (GPU) has evolved from a fixedfunction graphics pipeline to a programmable parallel processor with computing power exceeding that of multicore CPUs. Traditional graphics pipelines consist of separate programmable stages of vertex processors executing vertex shader programs and pixel fragment processors executing pixel shader programs. (Montrym and Moreton provide additional background on the traditional graphics processor architecture.1) NVIDIA’s Tesla architecture, introduced in November 2006 in the GeForce 8800 GPU, unifies the vertex and pixel processors and extends them, enabling high-performance parallel computing applications written in the C language using the Compute Unified Device Architecture (CUDA2–4) parallel programming model and development tools. The Tesla unified graphics and computing architecture is available in a scalable family of GeForce 8-series GPUs and Quadro GPUs for laptops, desktops, workstations, and servers. It also provides the processing architecture for the Tesla GPU computing platforms
NVIDIA TESLA: A UNIFIED GRAPHICS AND COMPUTING ARCHITECTURE
TO ENABLE FLEXIBLE, PROGRAMMABLE GRAPHICS AND HIGH-PERFORMANCE COMPUTING, NVIDIA HAS DEVELOPED THE TESLA SCALABLE UNIFIED GRAPHICS AND PARALLEL
COMPUTING ARCHITECTURE. ITS SCALABLE PARALLEL ARRAY OF PROCESSORS IS MASSIVELY MULTITHREADED AND PROGRAMMABLE IN C OR VIA GRAPHICS APIS.
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Erik Lindholm John Nickolls Stuart Oberman John Montrym NVIDIA
The modern 3D graphics processing unit (GPU) has evolved from a fixedfunction graphics pipeline to a programmable parallel processor with computing power exceeding that of multicore CPUs. Traditional graphics pipelines consist of separate programmable stages of vertex processors executing vertex shader programs and pixel fragment processors executing pixel shader programs. (Montrym and Moreton provide additional background on the traditional graphics processor architecture.1) NVIDIA’s Tesla architecture, introduced in November 2006 in the GeForce 8800 GPU, unifies the vertex and pixel processors and extends them, enabling high-performance parallel computing applications written in the C language using the Compute Unified Device Architecture (CUDA2–4) parallel programming model and development tools. The Tesla unified graphics and computing architecture is available in a scalable family of GeForce 8-series GPUs and Quadro GPUs for laptops, desktops, workstations, and servers. It also provides the processing architecture for the Tesla GPU computing platforms