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Free Download Cuda Parallel Programming On Nvidia Gpus (Hw And Sw) Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 10.44 GB | Duration: 12h 54m Performance Optimization and Analysis for High-Performance Computing What you'll learn Comprehensive Understanding of GPU vs CPU Architecture learn the history of graphical processing unit (GPU) until the most recent products Understand the internal structure of GPU Understand the different types of memories and how they affect the performance Understand the most recent technologies in the GPU internal components Understand the basics of the CUDA programming on GPU Start programming GPU using both CUDA on Both windows and linux understand the most efficient ways for parallelization Profiling and Performance Tuning Leveraging Shared Memory Requirements C and C++ basics Linux and windows basics Computer Architecture basics Description This comprehensive course is designed for anyone looking to dive deep into CUDA programming and NVIDIA GPU architectures. Starting from the basics of GPU hardware, the course walks you through the evolution of NVIDIA's architectures, their key performance features, and the computational power of CUDA. With practical programming examples and step-by-step instruction, students will develop an in-depth understanding of GPU computing, CUDA programming, and performance optimization. Whether you're an experienced developer or new to parallel computing, this course provides the knowledge and skills necessary to harness the full potential of GPU programming.Here's a refined summary of what you will gain from this CUDA programming course:Comprehensive Understanding of GPU vs CPU Architecture: Students will learn the fundamental differences between GPUs and CPUs, gaining insight into how GPUs are designed for parallel processing tasks.Deep Dive into NVIDIA's GPU Architectures: The course covers the evolution of NVIDIA's GPU architectures, including Fermi, Pascal, Volta, Ampere, and Hopper, and teaches how to compare different generations based on key performance parameters.Hands-On CUDA Installation: Students will learn how to install CUDA across various operating systems, including Windows, Linux, and using WSL, while exploring the essential features that come with the CUDA toolkit.Introduction to CUDA Programming Concepts: Through practical examples, students will understand core CUDA programming principles, including thread and block management, and how to develop parallel applications like vector addition.Profiling and Performance Tuning: The course will guide students through using NVIDIA's powerful profiling tools like Nsight Compute and nvprof to measure GPU performance and optimize code by addressing issues like occupancy and latency hiding.Mastering 2D Indexing for Matrix Operations: Students will explore 2D indexing techniques for efficient matrix computations, learning to optimize memory access patterns and enhance performance.Performance Optimization Techniques: They will acquire skills to optimize GPU programs through real-world examples, including handling non-power-of-2 data sizes and fine-tuning operations for maximum efficiency.Leveraging Shared Memory: The course dives into how shared memory can boost CUDA application performance by improving data locality and minimizing global memory accesses.Understanding Warp Divergence: Students will learn about warp divergence and its impact on performance, along with strategies to minimize it and ensure smooth execution of parallel threads.Real-World Application of Profiling and Debugging: The course emphasizes practical use cases, where students will apply debugging techniques, error-checking APIs, and advanced profiling methods to fine-tune their CUDA programs for real-world applications.By the end of the course, students will be proficient in CUDA programming, profiling, and optimization, equipping them with the skills to develop high-performance GPU applications. Overview Section 1: Introduction to the Nvidia GPUs hardware Lecture 1 GPU vs CPU (very important) Lecture 2 NVidia's history (How Nvidia started dominating the GPU sector) Lecture 3 Architectures and Generations relationship[Hopper, Ampere, GeForce and Tesla] Lecture 4 How to know the Architecture and Generation Lecture 5 The difference between the GPU and the GPU Chip Lecture 6 The architectures and the corresponding chips Lecture 7 Nvidia GPU architectures From Fermi to hopper Lecture 8 Parameters required to compare between different Architectures Lecture 9 Half, single and double precision operations Lecture 10 Compute capability and utilizations of the GPUs Lecture 11 Before reading any whitepapers !! look at this Lecture 12 Volta+Ampere+Pascal+SIMD (Don't skip) Section 2: Installing Cuda and other programs Lecture 13 What features installed with the CUDA toolkit? Lecture 14 Installing CUDA on Windows Lecture 15 Installing WSL to use Linux on windows OS. Lecture 16 Installing Cuda toolkits on Linux Section 3: Introduction to CUDA programming Lecture 17 Mapping SW from CUDA to HW + introducing CUDA. Lecture 18 001 Hello World program (threads - Blocks) Lecture 19 Compiling Cuda on Linux Lecture 20 002 Hello World program ( Warp_IDs) Lecture 21 003 : Vector addition + the Steps for any CUDA project Lecture 22 004 : Vector addition + blocks and thread indexing + GPU performance Lecture 23 005 levels of parallelization - Vector addition with Extra-large vectors Section 4: Profiling Lecture 24 Query the device properties using the Runtime APIs Lecture 25 Nvidia-smi and its configurations (Linux User) Lecture 26 The GPU's Occupancy and Latency hiding Lecture 27 Allocated active blocks per SM (important) Lecture 28 Starting with the nsight compute (first issue) Lecture 29 All profiling tools from NVidia (Nsight systems - compute - nvprof ...) Lecture 30 Error checking APIs (look at chat GPU there is an example) Lecture 31 Nsight Compute performance using command line analysis Lecture 32 Graphical Nsight Compute (windows and linux) Section 5: Performance analysis for the previous applications Lecture 33 Performance analysis Lecture 34 Vector addition with a size not power of 2 !!! important Section 6: 2D Indexing Lecture 35 Matrices addition using 2D of blocks and threads Lecture 36 Why L1 Hit-rate is zero ? 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Python Parallel Programming Solutions Size: 602 MB | Duration: 4h 0m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2ch Genre: eLearning | Level: Intermediate | Language: English Learn parallel programming techniques using Python and explore the many ways you can write code that allows more than one task to occur at a time. First, discover how to develop and implement efficient software architecture that is set up to take advantage of thread-based and process-based parallelism. Next, find out how to use Python modules for asynchronous programming. Then, explore GPU programming using PyCUDA, NumbaPro, and PyOpenCL. This course provides extensive coverage of synchronizing processes, streamlining communication, reducing operations, and optimizing code so you can select and implement the right parallel processing solutions for your applications. Topics include: * Memory organization * Parallel programming models * Designing a parallel program and evaluating performance * Working with threads in Python * Synchronizing threads and using multithreading * Spawning a process * Running a process in the background * Synchronizing processes * Using the mpi4py Python module * Using collective communication * Reducing operations * Managing events, tasks, and routines with Asyncio * Distributing tasks Download From NitroFlare http://nitroflare.com/view/79F766115BD15BA/xidau123_LcPythonParallelProgrSoltn.rar Download From Rapidgator http://rapidgator.net/file/ac3110576624a3cb5b9a3179a417d64c/xidau123_LcPythonParallelProgrSoltn.rar.html Download From UploadGig https://uploadgig.com/file/download/b58A67aD051Ad718/xidau123_LcPythonParallelProgrSoltn.rar

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Groove3 Parallel Compression for Drums TUTORiAL | 377 MB Drum master Luke Oswald reveals how to apply Parallel Compression to your drum tracks, adding musical depth and punch. You'll also learn how to compress individual channels, alternative workflows, using 3rd party plug-ins and more! See the individual tutorial descriptions below for more info. Discover how to add that professional punch and impact to your drum tracks, making them stand out and groove... Watch "Parallel Compression for Drums" now! SYNTHiC4TE | Oct 10 2016 Download link: http://uploaded.net/file/6gt5berh/3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar]3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar http://rapidgator.net/file/674832514aa9f578b0a08b5287533cf1/3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar.html]3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar.html http://nitroflare.com/view/1EE4B396CCE5CE9/3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar]3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar http://uploadgig.com/file/download/ec0af2852fbEA606/3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar]3lupp.Groove3.Parallel.Compression.for.Drums.TUTORiAL.rar Links are Interchangeable - No Password - Single Extraction

Selenium Webdriver Tutorial-Intro To Parallel Test Execution MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 25 | 282 MB Genre: eLearning | Language: English Learn parallel test execution with Sauce Labs, Browser Stack, and locally using NUnit Is your automation test suite taking hours to run? Are you having issues with debugging and analyzing automated test failures? Can your automation framework record videos and capture ? This course is an introductory Selenium Webdriver course that is designed to take your automated software testing skills to the next level and solve all of the problems above. It covers just enough options to help you run your tests in parallel without overwhelming you with a bunch of minute details. GUARANTEED or your money back within 30 days! "The best tutorials I have ever seen, simply awesome. I take off my hat in front of you, you are an gorgeous professor, I am speechless to express how satisfied I am with these tutorials." -Lisbey In course, you will get an introduction to the following topics: 1. How to run Selenium Webdriver tests in parallel on your computer 2. How to run Selenium Webdriver tests in parallel in Browser Stack's cloud 3. How to run Selenium Webdriver tests in parallel in Sauce Lab's cloud 4. Introduction to NUnit 5. Understand the benefits of running your tests in parallel 6. Understand the benefits of running your tests in the cloud 7. Understand how to configure and use the RemoteWebdriver class Download link: http://rapidgator.net/file/c50ac29977174d43fc02aa8fa2c28cc1/ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar.html]ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar.html http://nitroflare.com/view/13556076817468A/ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar]ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar http://uploaded.net/file/761to4ak/ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar]ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar https://www.bigfile.to/file/MDbT8VvFXEUS/ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar]ahh6e.Selenium.Webdriver.TutorialIntro.To.Parallel.Test.Execution.rar Links are Interchangeable - No Password - Single Extraction

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Concurrent and Parallel Programming Concepts MP4 | Video: 1280x720 | 125 kbps | 48 KHz | Duration: 8 Hours | 2.28 GB Genre: eLearning | Language: English In this training course, expert author Martin Kalin will teach you everything you need to know to master concurrent and parallel programming. This course is designed for users that already have a basic working knowledge of programming concepts. You will start by learning about concurrency and parallelism, then jumping into learning the basics of multiprocessing. From there, Martin will teach you about multiprocessing through richer code examples, as well as multithreading through richer code examples. This video tutorial also covers thread-safety and high-level concurrent types in Java, options for thread synchronization and cooperation, and concurrency and non-blocking I/O. Finally, you will learn the basics of parallelism, parallelism and performance, and parallelism and distributed computing. Once you have completed this computer based training course, you will have learned everything you need to know about concurrent and parallel programming. Working files are included, allowing you to follow along with the author throughout the lessons. http://rapidgator.net/file/e2f1150f0ad9667bf9c18a2df03bd0ae/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part1.rar.html http://rapidgator.net/file/792e052714a7792489ffc25ba5103c8b/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part2.rar.html http://rapidgator.net/file/8ea12da0b3b25f72ea963f0fb8947959/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part3.rar.html http://rapidgator.net/file/157e5fe3401132b707caf1c36c8b3749/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part4.rar.html http://rapidgator.net/file/ad508adf629187afc78f9fdfa9a8f5f6/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part5.rar.html http://rapidgator.net/file/e447a890d17818f6130b91610d4de514/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part6.rar.html http://rapidgator.net/file/12ad74d68db63ba23d87bd216074b187/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part7.rar.html http://rapidgator.net/file/9d751f1c56651c904b9282e3b09d26a2/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part8.rar.html http://www.nitroflare.com/view/3AFBC5B221DCA02/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part1.rar http://www.nitroflare.com/view/F28EA5253D15C4C/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part2.rar http://www.nitroflare.com/view/D7FE5D8438F347A/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part3.rar http://www.nitroflare.com/view/4241CE1D24E19B1/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part4.rar http://www.nitroflare.com/view/A8C4AC60CD0E9FA/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part5.rar http://www.nitroflare.com/view/F8B2AB95D8AA8E2/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part6.rar http://www.nitroflare.com/view/54FEC3CBC0E4314/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part7.rar http://www.nitroflare.com/view/E4C4F952D788268/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part8.rar http://uploaded.net/file/vz98xp5p/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part1.rar http://uploaded.net/file/p72jjjlu/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part2.rar http://uploaded.net/file/idjcng8u/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part3.rar http://uploaded.net/file/jpgtaeby/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part4.rar http://uploaded.net/file/0g1nqnpz/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part5.rar http://uploaded.net/file/xd3xlkpq/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part6.rar http://uploaded.net/file/22qppuko/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part7.rar http://uploaded.net/file/7z3bgiip/bnhv2.Concurrent.and.Parallel.Programming.Concepts.part8.rar

Intel Parallel Studio Xe v2015 Update 2 Iso | 2.68 Gb IntelÂ? Parallel Studio XE 2015 tool suite simplifies the design, development, debug, and tuning of code that utilizes parallel processing to boost application performance. Get more application performance with less effort on compatible IntelÂ? processors and coprocessors. Three editions based on your development needs: Composer Edition includes compilers, performance libraries, and parallel models optimized to build fast parallel code. Professional Edition includes everything in the Composer edition. It adds performance profiler, threading design/prototyping, and memory & thread debugger to design, build, debug and tune fast parallel code. Cluster Edition includes everything in the Professional edition. It adds a MPI cluster communications library, along with MPI error checking and tuning to design, build, debug and tune fast parallel code that includes MPI. NOTE: This is the Composer Edition which includes compilers, performance libraries, and parallel models optimized to build fast parallel code Intel.Parallel.Studio.XE.2015.Update.2.ISO-TBE (All below links are interchangable - Single Extraction - No password) http://rapidgator.net/file/e309b68746321e608502df022123fd54/tbeipsxe2015u2.part1.rar.html http://rapidgator.net/file/1c0978708e7a8333d5edd5ed83d846ce/tbeipsxe2015u2.part2.rar.html http://rapidgator.net/file/bf0f00c1141702d2ee21ba56a511b397/tbeipsxe2015u2.part3.rar.html http://uploaded.net/file/o39sp97p/tbeipsxe2015u2.part1.rar http://uploaded.net/file/i9epobcs/tbeipsxe2015u2.part3.rar http://uploaded.net/file/bquvoqop/tbeipsxe2015u2.part2.rar http://www.uploadable.ch/file/By3jFhtBF69B/tbeipsxe2015u2.part1.rar http://www.uploadable.ch/file/ZghNUKjeVpnc/tbeipsxe2015u2.part2.rar http://www.uploadable.ch/file/nR6ZxrbFNBDQ/tbeipsxe2015u2.part3.rar

Coursera - Heterogeneous Parallel Programming English | 11 hours | MP4 | AVC 108kbps | 960x540 | 29.97fps | AAC stereo 128kbps | 910 Mb Genre: eLearning This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. It covers heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns. All computing systems, from mobile to supercomputers, are becoming heterogeneous, massively parallel computers for higher power efficiency and computation throughput. While the computing community is racing to build tools and libraries to ease the use of these systems, effective and confident use of these systems will always require knowledge about low-level programming in these systems. This course is designed for students to learn the essence of low-level programming interfaces and how to use these interfaces to achieve application goals. CUDA C, with its good balance between user control and verboseness, will serve as the teaching vehicle for the first half of the course. Students will then extend their learning into closely related programming interfaces such as OpenCL, OpenACC, and C++AMP. The course is unique in that it is application oriented and only introduces the necessary underlying computer science and computer engineering knowledge for understanding. It covers the concept of data parallel execution models, memory models for managing locality, tiling techniques for reducing bandwidth consumption, parallel algorithm patterns, overlapping computation with communication, and a variety of heterogeneous parallel programming interfaces. The concepts learned in this course form a strong foundation for learning other types of parallel programming systems. DOWNLOAD http://rapidgator.net/file/78329da3f5f54c8d958bfc93da3667b4/Programming.part1.rar.html http://rapidgator.net/file/dbdfb03d5bc6dd00b2098402ca557638/Programming.part2.rar.html http://rapidgator.net/file/f7649ebb0d58e6af5317a12bc642169e/Programming.part3.rar.html http://rapidgator.net/file/69f3d471f20e2ef85e06f47c05bcb034/Programming.part4.rar.html http://uploaded.net/file/rnmpxeh8/Programming.part1.rar http://uploaded.net/file/bom1mh8d/Programming.part2.rar http://uploaded.net/file/z76x43qu/Programming.part3.rar http://uploaded.net/file/0ungix41/Programming.part4.rar http://www.uploadable.ch/file/yG7MezFmFXBW/Programming.part1.rar http://www.uploadable.ch/file/cQpQtN3R7XXN/Programming.part2.rar http://www.uploadable.ch/file/K643ZfMjUDR9/Programming.part3.rar http://www.uploadable.ch/file/rMFQzSxqYdw2/Programming.part4.rar

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