* Implementation CalculateAverage_japplis of 1BRC from Anthony Goubard (japplis).
Local performance (7 years old desktop i7-6700K - 8 cores - 16GB) 26 seconds. For reference, Jamie Stansfield (isolgpus) is 23 seconds on my machine and 11s in your results.
I've added the nbactions.xml to the .gitignore file. When you add in NetBeans options like --enable-preview to actions like debug file or run file, it creates this file.
* Implementation CalculateAverage_japplis of 1BRC from Anthony Goubard (japplis).
Local performance (7 years old desktop i7-6700K - 8 cores - 16GB) 26 seconds. For reference, Jamie Stansfield (isolgpus) is 23 seconds on my machine and 11s in your results.
I've added the nbactions.xml to the .gitignore file. When you add in NetBeans options like --enable-preview to actions like debug file or run file, it creates this file.
second commit: Removed BufferedInputStream and replaced Measurement with IntSummaryStatistics (thanks davecom): still 23" but cleaner code
* Initial solution by raipc
* Implemented custom hash map with open addressing
* Small optimizations to task splitting and range check disabling
* Fixed off-by-one error in merge
* Run with EpsilonGC. Borrowed VM params from Shipilev
* Make script executable
* Add a license
* First working version.
* Small adjustments.
* Correct number of threads.
* Sync
* Some fixes. To LF instead of CRLF.
* Parallel reading and processing.
* Update CreateMeasurements.java
* Update CalculateAverage.java
* Small fix for bug in switching buffers.
* Update calculate_average_arjenvaneerde.sh
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Co-authored-by: Gunnar Morling <gunnar.morling@googlemail.com>
* initial commit
* first attempt: segment the file and process it in parallel
* remove commented stuff
* custom parseDouble for this simple case
* fixed some issues and improved parsing
* format
* Update calculate_average_AbstractKamen.sh
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Co-authored-by: Gunnar Morling <gunnar.morling@googlemail.com>
This commit introduces a new java class, CalculateAverage_couragelee, and a shell script for calculating averages. The java class utilizes NIO's memory-mapping and parallel computing techniques to perform calculations. These changes should improve the efficiency and speed of average calculations.
* feat(flippingbits): Improve parsing of measurement and few cleanups
* feat(flippingbits): Reduce chunk size to 10MB
* feat(flippingbits): Improve parsing of station names
* chore(flippingbits): Remove obsolete import
* chore(flippingbits): Few cleanups
* Optimize checking for collisions by doing this a long at a time always.
* Use a long at a time scanning for delimiter.
* Minor tuning. Now below 0.80s on Intel i9-13900K.
* Add number parsing code from Quan Anh Mai. Fix name length issue.
* Include suggestion from Alfonso Peterssen for another 1.5%.
* Optimize hash collision check compare for ~4% gain.
* Add perf stats based on latest version.
* reset the JDK to the default (21.0.1-open) when no prepare script is provided
* leaderboard improvements - sorting and content
* run sdk install once at the beginning of the script for all the SDKs detected in any of the evaluated prepare scripts
* remove unnecessary code and tweak doc comments
* one more nit
* Don't print rankings values when only 1 fork is being evaluated
* It's been a few hours, so I now have some more rate limit :)
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Co-authored-by: Jason Nochlin <hundredwatt@users.noreply.github.com>
* create new version of evaluate.sh using hyperfine + jq
* output the raw times for each command
* nit: s/command/fork/
* update evaluate2.sh for new fork file structure
* review changes
* use numactl on linux
* 1 warmup
* verify output
* leaderboard
* do not early exit on hyperfine error
* check if SMT and turbo boost are disabled
* fix bug
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Co-authored-by: Jason Nochlin <hundredwatt@users.noreply.github.com>
* isolgpus: fix chunk sizing when not at 8 threads
use as many cores as are available
don't buffer the station name, only use it when we need it.
get rid of the main branch
move variables inside the loop
* isolgpus: optimistically assume we can read a whole int for the station name, but roll back if we get it wrong. This should be very beneficial on a dataset where station names are mostly over 4 chars
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Co-authored-by: Jamie Stansfield <jalstansfield@gmail.com>
