该课程涵盖的只是Parallel Computing中一小部分内容,对于学习CUDA有着很好的启发,但还有很多并行计算以及GPU编程内容需要进一步深入。同时,该课程对机器学习CUDA加速相关的内容也是缺失的,需要自己额外补充; 作业难度一般,没有autograder; 手写PPT,内容不是很丰富。课程用一个很大的主题:parallel computing,但讲的内容是这...
WebAssembly_ From the Browser to... Everywhere_ 41:15 Thoughts on the Future of Python 27:11 Python Monorepos_ What, Why and How 25:27 Quantum Computing Deep Dive 39:37 Parallel Processing in Python __ Aaron Richter 34:11 Learn CPython by Breaking It 22:39 Let Your Users Dec...
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Server 性能较强,现代服务器通常是高度并行的多处理器 (指有多个 CPU) 系统 (highly parallel multiprocessor systems) 经常只能通过 network 进行访问 Responsible for the most demanding computing needs —— 例如,搜索引擎处理搜索请求等 Warehouse scale computer 仓库级计算机 超大规模的计算机,由许多服务器并行组成...
Hybrid Modeling blog series, we discussed the basic principles behind shared memory computing — what it is, why we use it, and how the COMSOL software uses it in its computations. Today, we are going to discuss the other building block of hybrid parallel computing:distributed memory computing...
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This paper is intended to make good the lack of computing literature on the topic. Its purposes are to provide a history of the use of computer matching, and a clear description of the technique, and thereby provide a springboard for future, more critical works....
Parallel DBMSis a DBMS capable of utilizing tightly-coupled computing resources (processors, disks and memories). Tight coupling is achieved by networks with data exchange time comparable to the time of the data exchange with a disk. Parallel database technology promises performance improvements (speed...
LESSON 2: Introduction to High Performance Computing LESSON 3: Intro to the Work-Span Model LESSON 4: Intro to OpenMP LESSON 5: Comparison-based Sorting LESSON 6: Scans and List Ranking LESSON 7: Tree Computations LESSON 8: Shared Memory Parallel BFS LESSON 9: Sample Midterm LESSON 10: Intro...
An in-depth explanation of Gradient Descent, and how to avoid the problems of local minima and saddle points.