| Commit message (Collapse) | Author | Age | Files | Lines |
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* Solution without unsafe
* Solution without unsafe
* Solution without unsafe, remove the usage of bytebuffer, passes the create_measurements3 test
* bug fix for 10k test, update also the CreateMeasurements3.java to use '\n' as newline instead of the os value (if it runs on windows it uses crlf and "breaks" the file format )
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Co-authored-by: Giovanni Cuccu <gcuccu@imolainformatica.it>
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- faster merge by ignoring empty entries in the map
- enable CDS for faster startup (added `prepare_serkan-ozal.sh` to generate CDS archive in advance)
- some tweaks with JVM options
- optimized result printing
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* initial implementation
* few improvements and a cleanup (down to ~12s)
* use array instead of hashmap for collecting partial results
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* Amendments
* One more locality touchup: no need to carry the entire name array
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* another shameless copycat from thomas: less safepoints
* I have no idea what I am doing
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Co-authored-by: Ian Preston <ianopolous@protonmail.com>
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* Read file with multiple virtual threads and process chunks of file data in parallel.
* Updated logic to bucket every chunk of aggs into a vector and merge them into a TreeMap for printing.
* Virtual Thread / File Channels Impl.
* Renamed files with GHUsername.
* Added statement to get vals before updating.
* Added executable permission to the files.
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* Simple multi-threaded version
* Format code
* Formatted code
* More formatting
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* less type conversion, less string cast
* adjust some comments
* fixed format issue
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* Latest snapshot (#1)
preparing initial version
* Improved performance to 20seconds (-9seconds from the previous version) (#2)
improved performance a bit
* Improved performance to 14 seconds (-6 seconds) (#3)
improved performance to 14 seconds
* sync branches (#4)
* initial commit
* some refactoring of methods
* some fixes for partitioning
* some fixes for partitioning
* fixed hacky getcode for utf8 bytes
* simplified getcode for partitioning
* temp solution with syncing
* temp solution with syncing
* new stream processing
* new stream processing
* some improvements
* cleaned stuff
* run configuration
* round buffer for the stream to pages
* not using compute since it's slower than straightforward get/put. using own byte array equals.
* using parallel gc
* avoid copying bytes when creating a station object
* formatting
* Copy less arrays. Improved performance to 12.7 seconds (-2 seconds) (#5)
* initial commit
* some refactoring of methods
* some fixes for partitioning
* some fixes for partitioning
* fixed hacky getcode for utf8 bytes
* simplified getcode for partitioning
* temp solution with syncing
* temp solution with syncing
* new stream processing
* new stream processing
* some improvements
* cleaned stuff
* run configuration
* round buffer for the stream to pages
* not using compute since it's slower than straightforward get/put. using own byte array equals.
* using parallel gc
* avoid copying bytes when creating a station object
* formatting
* some tuning to increase performance
* some tuning to increase performance
* avoid copying data; fast hashCode with slightly more collisions
* avoid copying data; fast hashCode with slightly more collisions
* cleanup (#6)
* tidy up
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* Some fine tuning.
* Process 2MB segments to make all threads finish at the same time.
Process with 3 scanners in parallel in the same thread.
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* initial implementation
* few improvements and a cleanup (down to ~12s)
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use more generic hashcode
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* Initial submission for jonathan_aotearoa
* Fixing typos
* Adding hyphens to prepare and calculate shell scripts so that they're aligned with my GitHub username.
* Making chunk processing more robust in attempt to fix the cause of the build error.
* Fixing typo.
* Fixed the handling of files less than 8 bytes in length.
* Additional assertion, comment improvements.
* Refactoring to improve testability. Additional assertion and comments.
* Updating collision checking to include checking if the station name is equal.
* Minor refactoring to make param ordering consistent.
* Adding a custom toString method for the results map.
* Fixing collision checking bug
* Fixing rounding bug.
* Fixing collision bug.
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Co-authored-by: jonathan <jonathan@example.com>
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- use shared memory arena and region between worker threads
- reduce number of instructions slightly while processing file region
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* some random changes with minimal, if any, effect
* use munmap() trick
credit: thomaswue
* some smaller tweaks
* use native image
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* CalculateAverage_pdrakatos
* Rename to be valid with rules
* CalculateAverage_pdrakatos
* Rename to be valid with rules
* Changes on scripts execution
* Fixing bugs causing scripts not to be executed
* Changes on prepare make it compatible
* Fixing passing all tests
* Increase direct memory allocation buffer
* Fixing memory problem causes heap space exception
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* Contribution by albertoventurini
* Use byte arrays of size 2^20
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Co-authored-by: Alberto Venturini <alberto.venturini@accso.de>
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* Initial impl
* Fix bad file descriptor error in the `calculate_average_serkan-ozal.sh`
* Disable Epsilon GC and rely on default GC. Because apparently, JIT and Epsilon GC don't play well together in the eval machine for short lived Vector API's `ByteVector` objects
* Take care of byte order before processing key length with bit shift operators
* Fix key equality check for long keys
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13.8s locally now.
Co-authored-by: Ian Preston <ianopolous@protonmail.com>
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/**
* Solution based on thomaswue solution, commit:
* commit d0a28599c293d3afe3291fc3cf169a7b25ae9ae6
* Author: Thomas Wuerthinger <thomas.wuerthinger@oracle.com>
* Date: Sun Jan 21 20:13:48 2024 +0100
*
* Changes:
* 1) Use LinkedBlockingQueue to store partial results, that
* will then be merged into the final map later.
* As different chunks finish at different times, this allows
* to process them as they finish, instead of joining the
* threads sequentially.
* This change seems more useful for the 10k dataset, as the
* runtime difference of each chunk is greater.
* 2) Use only 4 threads if the file is >= 14GB.
* This showed much better results on my local test, but I only
* run with 200 million rows (because of limited RAM), and I have
* no idea how it will perform on the 1brc HW.
*/
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custom hashtable (#600)
* melgenek: ~top 15 on 10k. Buffered IO, VarHandles, vectors, custom hashtable
* Calculate the required heap size dynamically
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* fix test rounding, pass 10K station names
* improved integer conversion, delayed string creation.
* new algorithm hash, use ConcurrentHashMap
* fix rounding test
* added the length of the string in the hash initialization.
* fix hash code collisions
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More small tweaks, perf from 775~ to 738~
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* Dirty implementation gigiblender
* Final impl gigiblender
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* cleanup prepare script
* native image options
* fix quardaric probing (no change to perf)
* mask to get the last chunk of the name
* extract hash functions
* tweak the probing loop (-100ms)
* fiddle with native image options
* Reorder conditions in hope it makes branch predictor happier
* extracted constant
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* improve hard disk access locality, another 8%
* add some comments & credit
* fixed format
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Co-authored-by: Quang Hieu Dao <hieu_dq@flinters.vn>
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* Initial submission
* fixed not executable scripts
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* Improve hash function
* remove limit on number of cores
* fix calculation of boundaries between chunks
* fix IOOBE
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Co-authored-by: Jason Nochlin <hundredwatt@users.noreply.github.com>
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Minor updates here and there, shaves off ~5% of execution time on my machine.
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* Contribution by albertoventurini
* Shave off a couple of hundreds of milliseconds, by making an assumption on temperature readings
* Parse reading without loop, inspired by other solutions
* Use all cores
* Small improvements, only allocate 247 positions instead of 256
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Co-authored-by: Alberto Venturini <alberto.venturini@accso.de>
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* Update with Rounding Bugfix
* Simplification of Merging Results
* More Plain Java Code for Value Storage
* Improve Performance by Stupid Hash
Drop around 3 seconds on my machine by
simplifying the hash to be ridicules stupid,
but faster.
* Fix outdated comment
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* Dmitry challenge
* Dmitry submit 2.
Use MemorySegment of FileChannle and Unsafe
to read bytes from disk. 4 seconds speedup in local test
from 20s to 16s.
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* tonivade improved not using HashMap
* use java 21.0.2
* same hash same station
* remove unused parameter in sameSation
* use length too
* refactor parallelization
* use parallel GC
* refactor
* refactor
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Use flat array for stats.
Use simd for line termination
Co-authored-by: Ian Preston <ianopolous@protonmail.com>
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* Simplify Node class with less field, improve hash mix speed
* remove some ops, a bit faster
* more inline, little bit faster but not sure
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* first attempt
* formatting fix
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Co-authored-by: Gabriel <gabriel@gabriel>
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1. Use Unsafe
2. Fit hashtable in L2 cache.
3. If we can find a good hash function, it can fit in L1 cache even.
4. Improve temperature parsing by using a lookup table
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* Go implementation by AlexanderYastrebov
This is a proof-of-concept to demonstrate non-java submission.
It requires Docker with BuildKit plugin to build and export binary.
Updates
* #67
* #253
* Use collision-free id lookup
* Use number of buckets greater than max number of keys
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locally similar time to top 5] (#431)
* Init Push
* organize imports
* Add OpenMap
* Best outcome yet
* Create prepare script and calculate script for native image, also add comments on calculation
* Remove extra hashing, and need for the set array
* Commit formatting changes from build
* Remove unneeded device information
* Make shell scripts executable, add hash collision double check for equality
* Add hash collision double check for equality
* Skip multithreading for small files to improve small file performance
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It doesn't make a lot of sense since quite some code can be written shorter, but this is what gives the best numbers.
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* off the shell Java components, curious about official runtime results. thnx
my laptop results are around 12 seconds, e.g:
87.66user 1.32system 0:12.11elapsed 734%CPU (0avgtext+0avgdata 13980924maxresident)k
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i5-8400H CPU @ 2.50GHz
* off-the-shelf Java components... curious about official runtime results. thnx
laptop results are around 11 seconds, e.g:
./calculate_average_3j5a.sh 81.46s user 1.36s system 758% cpu 10.917 total
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i5-8400H CPU @ 2.50GHz
* off-the-shelf Java components + ArraysSupport..
laptop results are around 10.2 seconds, e.g:
./calculate_average_3j5a.sh 75.02s user 1.31s system 750% cpu 10.175 total
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i5-8400H CPU @ 2.50GHz
* method handle...
* full buffer read attempt
* MH
* MH cleanup
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* Contribution from mattiz
* Formatted code
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* final comit
changing using mappedbytebuffer
changes before using unsafe address
using unsafe
* using graalvm,correct unsafe mem implementation
---------
Co-authored-by: Karthikeyans <karthikeyan.sn@zohocorp.com>
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* Inline parsing name and station to avoid constantly updating the offset field (-100ms)
* Remove Worker class, inline the logic into lambda
* Accumulate results in an int matrix instead of using result row (-50ms)
* Use native image
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