performanceguidelines.blogspot.com
Performance guidelinesA tutorial on writing fast code for both linear and parallel architectures
http://performanceguidelines.blogspot.com/
A tutorial on writing fast code for both linear and parallel architectures
http://performanceguidelines.blogspot.com/
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Performance guidelines | performanceguidelines.blogspot.com Reviews
https://performanceguidelines.blogspot.com
A tutorial on writing fast code for both linear and parallel architectures
performanceguidelines.blogspot.com
Performance guidelines: 3/7: Algorithmic performance
http://performanceguidelines.blogspot.com/2013/08/algorithmic-performance.html
A tutorial on writing fast code for both linear and parallel architectures. I'm an IT professional living in Lisbon. View my complete profile. Thursday, August 8, 2013. This article is part of a series. We shall walk the steps needed to choose the right algorithm for a particular task. These steps are ordered from the most to the least important. Even though written with sorting algorithms in mind, most of these topics are relevant regardless of the algorithm’s nature. In many cases, the specifics of our...
Performance guidelines: 4/7: The GPU – a performance-centric overview
http://performanceguidelines.blogspot.com/2013/08/the-gpu-performance-centric-overview.html
A tutorial on writing fast code for both linear and parallel architectures. I'm an IT professional living in Lisbon. View my complete profile. Thursday, August 8, 2013. 4/7: The GPU – a performance-centric overview. This article is part of a series. Like a CPU, the GPU memory model has Level 1 and 2 caches (hence a need for locality) but a much heftier penalty for a cache miss. For example. 0, then a bank conflict will happen. Coalesced global memory access. We’ve already established just how costl...
Performance guidelines: 2/7: The CPU memory cache
http://performanceguidelines.blogspot.com/2013/08/the-cpu-memory-cache.html
A tutorial on writing fast code for both linear and parallel architectures. I'm an IT professional living in Lisbon. View my complete profile. Thursday, August 8, 2013. 2/7: The CPU memory cache. This article is part of a series. While the greatest performance gains may only be achieved by knowing the exact cache characteristics. Make sure your algorithm accesses only the same small regions of data for as long as possible before moving elsewhere. Programming techniques – loop blocking. K loop, part 1.
Performance guidelines: 6/7: Apendix A – CUDAfy source for Odd-Even sort
http://performanceguidelines.blogspot.com/2013/08/apendix-cudafy-source-for-odd-even-sort.html
A tutorial on writing fast code for both linear and parallel architectures. I'm an IT professional living in Lisbon. View my complete profile. Thursday, August 8, 2013. 6/7: Apendix A – CUDAfy source for Odd-Even sort. This article is part of a series. This software is based upon the book CUDA By Example by Sanders and Kandrot. This software contains source code provided by NVIDIA Corporation. Please refer to the NVIDIA end user license agreement (EULA) associated. I 0 & i = (i and (i - 1) ; } public.
Performance guidelines: 1/7: Introduction
http://performanceguidelines.blogspot.com/2013/08/introduction.html
A tutorial on writing fast code for both linear and parallel architectures. I'm an IT professional living in Lisbon. View my complete profile. Thursday, August 8, 2013. This article is part of a series. Throughout this text, N is the problem’s input size. All sample source code is written in C#, using CUDAfy. For all GPU-bound code. 8220;CUDAfy .NET allows easy development of high performance GPGPU applications completely from the Microsoft .NET framework”. Language and Compiler choice. Don’t overd...
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Sérgio Loff's articles: My blogs
http://sergioloff.blogspot.com/2014/01/my-blogs-performance-guidelines-here-i.html
Here I discuss several aspects about performance programming, from memory caching and optimization, computational complexity, CPU and GPU development. I explore several elements about MVC.NET, showing some of the best practices, pitfalls and exemplifying how some more complex tasks may be achieved. Observations on Machine Learning. Since I'm always fascinated with AI and Machine Learning, I plan to post some articles on the subject. Work in progress. I'm an IT professional living in Lisbon.
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performanceguidelines.blogspot.com
Performance guidelines
A tutorial on writing fast code for both linear and parallel architectures. I'm an IT professional living in Lisbon. View my complete profile. Thursday, August 8, 2013. This article is part of a series. Throughout this text, N is the problem’s input size. All sample source code is written in C#, using CUDAfy. For all GPU-bound code. 8220;CUDAfy .NET allows easy development of high performance GPGPU applications completely from the Microsoft .NET framework”. Language and Compiler choice. Don’t overd...
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