WEBWhat is GPGPU? • General-Purpose Computation on GPUs – GPU designed as a special-purpose coprocessor – Useful as a general-purpose coprocessor • The GPU is no longer just for graphics – It is a massively parallel stream processor – 32-bit float support – Flexible programming model – Huge memory bandwidth
WEBWorkload in one slide. Given a triangle, determines where it lies on screen given the position of a virtual camera.
WEBCS 758: Advanced Topics in Computer Architecture. Lecture #5: Introduction to GPU Microarchitecture Professor Matthew D. Sinclair. Some of these slides were developed by Tim Rogers at the Purdue University and Tor Aamodt at the University of British Columbia Slides enhanced by Matt Sinclair.
WEBGPGPU-Sim simulates the timing model of a GPU running each launched CUDA kernel. Reports # cycles spent running the kernels. Exclude any time spent on data transfer on PCIe bus. CPU may run concurrently with asynchronous kernel launches.
PPT - What is GPGPU? PowerPoint Presentation, free download
WEBApr 6, 2019 · What is GPGPU? Many of these slides are taken from Henry Neeman’s presentation at the University of Oklahoma. Accelerators • In HPC, an accelerator is hardware component whose role is to speed up some aspect of the computing workload. • In the olden days (1980s), supercomputers sometimes had array processors, which did vector operations ...
WEBGPGPU Example. • Kernel updates T(i,j) for one point. uint2 pos = glFragCoord; float self = tex2D( domain, pos.x, pos.y).x; // \Delta T_x float dx = tex2D( domain, pos.x+1, pos.y).x; dx += tex2D( domain, pos.x-1, pos.y).x; dx -= 2.0 * self; // \Delta T_y ... glFragColor = self + ax*dx + ay*dy; 23. GPGPU Limitations.
WEBLack of a state-of-the-art platform for CUDA compiler and HPC research. Binary dependencies, performance tuning, language features, bug turnaround times, etc. Solution. gpucc: the first fully-functional, open-source, high performance CUDA compiler. based on LLVM and supports C++11 and C++14.
WEBTargeting all 4 APIs + CPU reference implementation. Targeted devices: CPUs & GPUs. OSs: Windows & Linux 64bit. Implementations: CUDA 10.1. Vulkan 1.1. OpenCL 1.2. ComputeCpp (Win) & hipSYCL (Linux) Algorithms for …
General-purpose computing on graphics processing units
WEBEssentially, a GPGPU pipeline is a kind of parallel processing between one or more GPUs and CPUs that analyzes data as if it were in image or other graphic form. While GPUs operate at lower frequencies, they typically have many times the number of cores.
SE-EDU/LearningResources - An Introduction to GPGPU
WEBJul 13, 2021 · GPGPU stands for General-purpose computing on graphics processing units. It is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). [1]