Domain Drivers – Lecture 3-4 Professor Richard O. Sinnott Director, Melbourne eResearch Group University of Melbourne Objectives Copyright By PowCoder代写 加微信 powcoder • To give the “big picture” of why we need Cluster and Cloud Computing – This lecture is not focused on technologies, but on giving examples of how challenges are shaping the technological […]
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GPU PROGRAMMING 1. Introduction In the labs up until now we have been looking at mechanisms for exposing parallelism on CPUs. For this lab we will be looking at CUDA, which is a pro- gramming model designed for GPUs. GPUs offer a finer level of data parallelism than a CPU, with which large speed-ups are
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High Performance Computing GPU and CUDA Dr Ligang He Copyright By PowCoder代写 加微信 powcoder Architecture of GPU – Contains a number of Streaming Multiprocessors (SM) • Nvidia GeForce RTX 3090 has 82 SMs – A SM contains a number of GPU cores • In RTX 3090, each SM has 128 cores • In total, there
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Assignment Project 3 MPCS 52060 – Parallel Programming The final project gives you the opportunity to show me what you learned in this course and to build your own parallel system. In particular, you should think about implementing a parallel system in the domain you are most comfortable in (data science, machine learning, computer graphics,
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Getting Started in C++ COSC1076 Week 01 Copyright By PowCoder代写 加微信 powcoder Primary reason: Learning Programming Skills & Techniques • Dynamic Memory Management • More explicit program control • Supported language feature set Secondary reason: Learn a foundational & common language family • C++ is used for: – Optimisation – Efficiency • GPU Programming Week
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Deep Learning By Majid Babaei Convolutional Neural Network (CNN) Overview of Keras Keras runs on top of open source libraries like TensorFlow, Theano or Cognitive Toolkit (CNTK). Theano is a python library used for fast numerical computation tasks. TensorFlow is the most famous symbolic math library used for creating neural networks and deep learning models.
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Lect. 3: Shared Memory Multiprocessors Have a single OS for the whole system, support both processes and threads, and appear as a common multiprogrammed system (Thus, by this definition, Beowulf clusters are not multiprocessors) Obtained by connecting full processors together Copyright By PowCoder代写 加微信 powcoder – Processorshavetheirownconnectiontomemory – Processors are capable of independent execution and
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License • The OpenCL programming language can run on NVIDIA GPUs, AMD GPUs, Intel CPUs, Intel GPUs, mobile devices, and (supposedly) FPGAs (Field-Programmable Gate Arrays). • But, OpenCL is at its best on compute devices with large amounts of data parallelism, which usually implies
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The Open Computing Language (OpenCL) This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License Computer Graphics Copyright By PowCoder代写 加微信 powcoder opencl.pptx mjb – March 10, 2022 • OpenCL consists of two parts: a C/C++-callable API and a C-ish programming language. • The OpenCL programming language can run on NVIDIA GPUs, AMD
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