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Performance Analysis for Computer Scientists

Performance Analysis for Computer Scientists. Challenging software best practices that lag behind hardware best practices. Removing the inefficiency of low-level functionality needlessly replicated at higher levels. Identifying fundamental design flaws that are completely hidden by superficial design flaws. Predicting theoretical maximum performance from first principles. Rejecting and disproving specious explanations of how computers work. Demanding and producing good documentation. Processing multi-gig...

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Performance Analysis for Computer Scientists | synsem.com Reviews

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Performance Analysis for Computer Scientists. Challenging software best practices that lag behind hardware best practices. Removing the inefficiency of low-level functionality needlessly replicated at higher levels. Identifying fundamental design flaws that are completely hidden by superficial design flaws. Predicting theoretical maximum performance from first principles. Rejecting and disproving specious explanations of how computers work. Demanding and producing good documentation. Processing multi-gig...

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2 synthetic semantics

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7 parallel xml parser

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Performance Analysis for Computer Scientists | synsem.com Reviews

https://synsem.com

Performance Analysis for Computer Scientists. Challenging software best practices that lag behind hardware best practices. Removing the inefficiency of low-level functionality needlessly replicated at higher levels. Identifying fundamental design flaws that are completely hidden by superficial design flaws. Predicting theoretical maximum performance from first principles. Rejecting and disproving specious explanations of how computers work. Demanding and producing good documentation. Processing multi-gig...

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synsem.com

1

Memcached vs. Redis vs. EMS Benchmark

http://www.synsem.com/MCD_Redis_EMS

Benchmarking Memcached, Redis, and EMS. Download the Benchmark at GitHub. A key-value store is similar to a file system where a filename (key) is used to access shared data (values), but differs from a file system by adding rich set of commands to modify or process data independently of the requester. Specialization of key-value stores has lead to two dominant tools, Redis and Memcached, with different features and execution models. EMS extends the basic load/store model with synchronization primitives t...

2

Parallel XML2JSON Parser

http://www.synsem.com/xml2json

Parallel XML to JSON Converter. This Javascript module converts large XML files to JSON in parallel by extracting all the elements with a given tag and storing them in EMS shared memory with persistent storage. Additional processing may be done with legacy sequential Node.js scripts, to which additional EMS-based parallelism can be added as needed. Why Parallel Processing for XML? This script will download the SwissProt database from the University of Washington, install the required NPM modules (EMS, xm...

3

Potential Speedup from Parallelization

http://www.synsem.com/Amdahl

Skip to Compact Version ]. Drag the chart or the buttons to interact with the charts:. The wall clock time required to execute a parallel program can be predicted by Amdahl's Law. Which divides execution time into serial and parallel regions, scaling the parallel region by the number of processors used. Concurrency may be used as a substitute for sequential performance improvements, and is required if application performance must exceed sequential execution using a single core. Performance Not To Exceed".

4

Limits of Parallel Computation

http://www.synsem.com/Amdahl/compactParallel.html

Limits of Parallel Computation. Strictly sequential % of application. Serial region tuning speedup. Parallel region tuning speedup. Execution time of serial region. Average data operation size. Relative "Little" core performance. Maximum sequential rate (ops/sec). If the algorithm and dataset expose. Degrees of parallelism that execute for. Per task), and the overhead for starting a task is. The maximum possible speedup on System A with. On a System B with. Different Perspectives of Parallel Speedup.

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Synthetic Semantics

http://www.synsem.com/SeaNode-2014-06-25

Async vs. Parallel. Parallelism and Conservation of Complexity. Seattle Node.js 2014-06-25. Synthetic Semantics - mogill@synsem.com. Use Arrow Keys or Swipe To Navigate ]. Why Hasn't Parallel Programming Happend Yet? Why isn't there an API or library or compiler feature or magic? Hardware vendors need you to want more cores. But don't make software. Compiler authors want to optimize for parallel platforms. But static analysis is insufficient. VM and OS developers can add hooks for parallelism. Aio write(...

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syntheticsemantics.com

Extended Memory Semantics -- API Reference

http://www.syntheticsemantics.com/EMS.js/reference.html

EMS internally stores tags that are used for synchronization of user data, allowing synchronization to happen independently of the number or kind of processes accessing the data. The EMS primitives enforce atomic access using automatic state transitions, and higher level intrinsics like stacks, queues, and transactional memory are built on the EMS primitives. EMS Class and Array Methods. Require('ems') ( nThreads [, threadAffinity [, parallelType [, contextName ] ] ] ). Optional, Default =. Affects only ...

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Performance Analysis for Computer Scientists

Performance Analysis for Computer Scientists. Challenging software best practices that lag behind hardware best practices. Removing the inefficiency of low-level functionality needlessly replicated at higher levels. Identifying fundamental design flaws that are completely hidden by superficial design flaws. Predicting theoretical maximum performance from first principles. Rejecting and disproving specious explanations of how computers work. Demanding and producing good documentation. Processing multi-gig...

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