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Harald Prokop Thesis – 886384 – PLURIACT

I have read a lot about Cache Oblivious Algorithms and Streaming trees etc. I understand the basics what I am still unable to see is why they are good for parallel programming? I think I saw John Harrop stated that they are revolutionary for that.

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Here's the original work from Harald Prokop's Master's Thesis at ..

Harald Prokop. Master's thesis, Massachusetts Institute of Technology, Cambridge, MA, June 1999. [BFM05] Cache-Aware and Cache-Oblivious Adaptive Sorting.
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The goal for creating a good cache-oblivious algorithm is tomatch the work complexity of some optimal RAM model algorithm whileminimizing .Furthermore, unlike the external-memory model, which shares many ofthe listed features, we would like our algorithm to be independentof cache parameters ( and). The benefit of such analgorithm is that what is efficient on a cache-oblivious machine islikely to be efficient across many real machines without finetuning for particular real machine parameters. Frigo et al. showedthat for many problems, an optimal cache-oblivious algorithm willalso be optimal for a machine with more than two levels.

Cache-oblivious algorithms are typically analyzed using anidealized model of the cache, sometimes called thecache-oblivious model. This model is much easierto analyze than a real cache's characteristics (which havecomplicated associativity, replacement policies, etcetera), but inmany cases is provably within a constant factor of a more realisticcache's performance.

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CLICK HERE CLICK HERE CLICK HERE CLICK HERE CLICK HERE. Harald Prokop Thesis. CiteSeerX — Cache-Oblivious Algorithms by Harald Prokop This thesis …
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The idea behind cache-oblivious algorithms is efficient usage of processor caches and reduction of memory bandwidth requirements. Both things are equally important for single-threaded algorithms, but especially crucial for parallel algorithms, because available memory bandwidth is usually shared between hardware threads and frequently becomes a bottleneck for scalability.

I just want to point out that your question is particularly important within the multicore architecture where multiple processors have their own private caches and shared caches between several cores. To be able to achieve high efficiency and scalability, a parallel algorithm has to demonstrate a good in data caches.

Harald Prokop in his Master’s Thesis in 1999 [38] and later the same year published with co-authors Frigo, Leiserson and Ramachandran as an extended abstract [19].
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chessprogramming - Harald Prokop

An algorithm is cache oblivious if no program variables dependent on hardware configuration parameters, such as cache size and cache-line length need to be tuned to minimize the number of cache misses.

where his Thesis advisor was Charles Leiserson.

In , acache-oblivious algorithm is an designed toexploit the without having the size of the cache (or the length of the , etcetera) as an explicit parameter. An optimalcache-oblivious algorithm is a cache-oblivious algorithmthat exploits the cache optimally (in an sense, ignoring constantfactors). Thus, a cache oblivious algorithm is designed to performwell, without modification, on multiple machines with differentcache sizes, or for a with different levelsof cache having different sizes. The idea (and name) forcache-oblivious algorithms was conceived by as early as 1996 and first published by HaraldProkop in his master's thesis at the in 1999.

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