PPT-CUDA C/C BASICS NVIDIA

Author : sherrill-nordquist | Published Date : 2018-11-11

Corporation NVIDIA 2013 What is CUDA CUDA Architecture Expose GPU parallelism for generalpurpose computing Retain performance CUDA CC Based on industrystandard

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CUDA C/C BASICS NVIDIA: Transcript

Corporation NVIDIA 2013 What is CUDA CUDA Architecture Expose GPU parallelism for generalpurpose computing Retain performance CUDA CC Based on industrystandard CC Small set of extensions to enable heterogeneous programming. heterogeneous programming. Katia Oleinik. koleinik@bu.edu. Scientific Computing and Visualization. Boston . University. Architecture. NVIDIA Tesla M2070: . Core clock: 1.15GHz . Single instruction . 448 CUDA cores . NVIDIA . Corporation. © NVIDIA 2013. What is CUDA?. CUDA Architecture. Expose GPU parallelism for general-purpose computing. Retain performance. CUDA C/C++. Based on industry-standard C/C++. Small set of extensions to enable heterogeneous programming. Håkon Kvale . Stensland. Simula Research Laboratory. PC Graphics Timeline. Challenges. :. Render infinitely complex scenes. And extremely high resolution. In 1/60. th. of one second (60 frames per second). GPGPU Programming in CUDA. Supada . Laosooksathit. NVIDIA Hardware Architecture. Host. memory. Recall. 5 steps for CUDA Programming. Initialize device. Allocate. device memory. Copy. data to device memory. © Dan Negrut, . 2012. UW-Madison. Dan Negrut. Simulation-Based Engineering Lab. Wisconsin Applied Computing Center. Department of Mechanical Engineering. Department of . Electrical and Computer Engineering. Håkon Kvale . Stensland. iAD-lab, Department for Informatics. Basic 3D Graphics Pipeline. Application. Scene Management. Geometry. Rasterization. Pixel Processing. ROP/FBI/Display. Frame. Buffer. Memory. Martin Burtscher. Department of Computer Science. High-End CPUs and GPUs. Xeon X7550 Tesla C2050. Cores 8 (superscalar) 448 (simple). Active threads 2 per core 48 per core. Frequency 2 GHz 1.15 GHz. Quadro for AutoCAD. NVIDIA Quadro . Built for Professionals. NVIDIA Quadro graphics Maximizes AutoCAD productivity. Unprecedented Performance & Quality. Advanced Display Support . Maximize System Uptime. Waters. Introduction to GPU Computing. Brief History of GPU Computing. Technical Issues. Social Impact. Marketing and Ethical . Issues. Project Management. Conclusion. Table of Contents. A . GPU is . of. Split. Performance. . comparison. for NVIDIA CUDA . and. Intel . Xeon. . Phi. May, 2016. Contents. . Introduction. NVIDIA CUDA. Intel . Xeon. . Phi. . Conclusion. . tCSC. 2016. . t. oday’s. Research Computing Services. Boston . University. GPU Programming. Access to the SCC. Login: . tuta#. Password: . VizTut#. GPU Programming. Access to the SCC GPU nodes. # copy tutorial materials: . Agenda. Text book / resources. Eclipse . Nsight. , NVIDIA Visual Profiler. Available libraries. Questions. Certificate dispersal. (Optional) Multiple GPUs: Where’s Pixel-Waldo?. Text Book / Resources. Martin Burtscher. Department of Computer Science. High-end CPU-GPU Comparison. . Xeon 8180M. . Titan V. Cores 28 5120 (+ 640). Active threads 2 per core 32 per core. Frequency 2.5 (3.8) GHz 1.2 (1.45) GHz. CUDA C/C++ Basics Supercomputing 2011 Tutorial Cyril Zeller, NVIDIA Corporation

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