vectorizer.org

vectorizer.org

Long straight vectors are boring.". The Evolution of SIMD. Observations of the Past and Suggestions for the Future. 1 We are Still in the Stone Age of Computing. 1 The Meaning of "To Vectorize". 2 Assessing the Expressive Eloquence of a SIMD ISA. Here is the beef). 3 Expressive Eloquence - What? 4 Three ways in which VPSPLIT sucks. A work in slow progress). An Introduction to SIMD Programming. 3 Thinking in Parallel - Finding Data Parallelism. 4 Thinking in Parallel - Getting a Feel for the Hardware.

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Long straight vectors are boring.. The Evolution of SIMD. Observations of the Past and Suggestions for the Future. 1 We are Still in the Stone Age of Computing. 1 The Meaning of To Vectorize. 2 Assessing the Expressive Eloquence of a SIMD ISA. Here is the beef). 3 Expressive Eloquence - What? 4 Three ways in which VPSPLIT sucks. A work in slow progress). An Introduction to SIMD Programming. 3 Thinking in Parallel - Finding Data Parallelism. 4 Thinking in Parallel - Getting a Feel for the Hardware.

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1 vectorizer org

2 a first draft

3 foreword

4 0 abstract

5 introduction

6 a philosphical detour

7 addendum

8 vectorize it

9 2 analytical view

10 optimize it

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vectorizer.org | vectorizer.org Reviews

https://vectorizer.org

Long straight vectors are boring.". The Evolution of SIMD. Observations of the Past and Suggestions for the Future. 1 We are Still in the Stone Age of Computing. 1 The Meaning of "To Vectorize". 2 Assessing the Expressive Eloquence of a SIMD ISA. Here is the beef). 3 Expressive Eloquence - What? 4 Three ways in which VPSPLIT sucks. A work in slow progress). An Introduction to SIMD Programming. 3 Thinking in Parallel - Finding Data Parallelism. 4 Thinking in Parallel - Getting a Feel for the Hardware.

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vectorizer.org

1

Expressive Eloquence

http://www.vectorizer.org/simdeloquence.html

Assessing the Expressive Eloquence of a SIMD ISA. In passing, I mentioned five aspects of computation: data formats, data storage, data flow, computational operations, and control flow. I am not really happy with this classification, because those categories are not sharply distinguished from one another. But they are the best I could come up with, so let me define my terminology in more detail. The facilities that a SIMD ISA offers to shuffle vector elements around internally. Existing ISAs rely on ...

2

Vectorize It! - Finding Parallelism

http://www.vectorizer.org/vectorize_it_finding.html

Before you, dear reader, can apply the theory of the five aspects to the specific problem you wish to solve, you have to overcome a more substantial obstacle: data parallelism is inherently limited. The very first thing you need to do in any project involving SIMD programming is to find out if you can extract enough parallelism from the algorithm to make vectorization worthwhile. To denote the operation of shrinking one interval by another). S1 # s2 # s2 # s3 # s4 # s5 # . # sN.

3

vectorizer.org

http://www.vectorizer.org/simdabstract.html

4

Vectorize It! - Grokking the Hardware

http://www.vectorizer.org/vectorize_it_hardware.html

Getting a Feel for the Hardware. Finding out which data types the machine handles natively is straight forward. Take note how complete the support is for each type, and how exchangeable the types are with respect to the provided computational operations. The more orthogonal the type support, the fewer restrictions you will have to work around in software. In real machines, this aspect tends to be implemented with some redundancy. Often there is specific functionality that could theoretically be subsu...

5

Boar: Only A Raytracer

http://www.vectorizer.org/boar/index.html

Boar: Only A Raytracer. Boar is the name of a proof of concept raytracer. Here is an introduction to the idea of exploring quadrics as fundamental rendering primitive in realtime raytracing. The name is a ploy on the usual recursive acronyms that are fashionable in the open source scene. But if I had called it Oar then the acronym would not neatly translate as Eber: Bloß Ein Raytracer in German . :-). Then you might need spatial subdivision with constructive solid geometry. And just counts quadric primit...

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vectorizer.org

Long straight vectors are boring.". The Evolution of SIMD. Observations of the Past and Suggestions for the Future. 1 We are Still in the Stone Age of Computing. 1 The Meaning of "To Vectorize". 2 Assessing the Expressive Eloquence of a SIMD ISA. Here is the beef). 3 Expressive Eloquence - What? 4 Three ways in which VPSPLIT sucks. A work in slow progress). An Introduction to SIMD Programming. 3 Thinking in Parallel - Finding Data Parallelism. 4 Thinking in Parallel - Getting a Feel for the Hardware.

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Vectorizer : the blog :. Just another WordPress.com weblog. February 11, 2006. Posted by vectorizer in Snow/H O. 1 comment so far. A masella hi ha pista nova, pero encara no te nom :/. Sembla que la neu pols no hagi de fer res eh? February 11, 2006. Posted by vectorizer in Galería. Me salieron unas fotos bastante chulas el finde pasado cuando fuimos a Masella. Y esta es de las que mas me gusto. He hecho un diseño para Deviantart. Que ultimamente lo tenia bastante abandonado. La vista es desde La molina.

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