Coder Social home page Coder Social logo

cpp-util's Introduction

Cpp-Util

This is a collection of some data structures I have been working on recently.

Bragging

My MPMC queue is on par with Boost's lockfree::queue! Stay tuned as I optimize mine further. See benchmark at the bottom of this document.

Compilation

Requires cmake 2.6+ and a C++11 supporting compiler.

Requires boost installed and available in system headers.

To run tests:

cmake . # specify -DCMAKE_CXX_COMPILER=... if it's not g++
make -j`nproc`
ctest -j`nproc`

Other cmake options are:

  • -DCMAKE_BUILD_TYPE=(debug|release) - specifies build setting
  • -DASSERTIONS=(0|1|2) - specifies whether to turn on assertions, on by default for debug and off by default for release. Default behavior is 0 (or unset flag) Manual enabling is possible by setting 1, disabling with 2.

For quick building and testing, use chmod +x build-and-test.sh Then ./build-and-test.sh.

Overview

src/caches

lfu_cache.hpp: least frequently used cache

src/fibheap

fibheap.hpp: fibonacci min-heap

src/queues

hazard_queue.hpp: lock-free MPMC queue via hazard pointer implementation

shared_queue.hpp: MPMC queue via shared pointer implementation (relies on shared_ptr atomics)

src/sychro

hazard.hpp: hazard pointers

atomic_shared.hpp: wrapper for GCC's lack of atomic shared pointer support in 4.8

countdown_latch.hpp: countdown latch (from Java SE7)

--various pthreads wrappers for RAII--

src/util

util.hpp: misc. utils nullstream.hpp: stream that eats tokens atomic_optional.hpp: thread-safe optional container optional.hpp: my version of what is currently std::experimental::optional timer.hpp: convenience macro for timing a block radix.hpp: radix sorting uassert.hpp: poor man's gTest placeholder.

TODO

  • For speedup, notice we can just always choose to create a new hazard_record. Investigate via valgrind why memory consumption for hazard_queue is so large.
  • Investigate if hazard pointer re-use before deletion creates a leak in the rlist (fix by using a set instead of vector for rlist)
  • hazard_queue::is_lock_free overload.
  • try using spinlocks instead of mutexes in the atomic_shared_ptr (the lock doesn't have to protect much, so it's probably better if you generate a lot of atomic_shared_ptrs).
  • Try to beat the boost::lockfree::queue
  • document throws for pthreads (look at the "too many readers" return val, maybe spin?)
  • cache and fibheap are terribly slow. speed them up.
  • implement SingularThreadpool (1t) (mpsc)
  • WorkStealingThreadpool # (using mpmc for each thread)
  • clean up TODOs in code
  • create test-testandset spinlock, and then queuelock (with everyhting, Art of mpp ch.7)
  • Test against boost spinlock concurrent heap_cache (finish testing & debugging) exact_heap_cache (see lfu_cache.h) - make separate method in main for comparison/stress linked_cache (see lfu_cache.h) -> concurrent versions of exact_heap_cache and linked_cache (clean up the entire mess) fibheap (check file for TODOs) Use a lazily updated bool instead of insert_version_ and remove_version to denote "empty" in shared_queue.hpp (also hazard_queue.hpp)
  • Optimize MSD sort
  • MSD 3-way quicksort (in place?)
  • More radix sorts (LSD, MSD with auxilary memory)
  • Future improvements to hazard pointers would be a global GC mechanism that cleans up the global_list_.
  • suffix tries + ukkonen construct

MPMC (Multi-producer Multi-consumer) Queue Benchmark

Run ./release/mpmc-test.exe bench boost. Results were from an i7 Intel Nehalem (64-bit, on Ubuntu 14.04).

Boost Queue
    Enqueues (8x100000): 129ms
    Dequeues (8x100000): 83ms
    Fair mpmc (~1000000 items, 4 enq, 4 deq): 227ms
    Enqueue-weighted mpmc (~1000000 items, 6 enq, 2 deq): 146ms
    Dequeue-weighted mpmc (~1000000 items, 2 enq, 6 deq): 190ms

Shared Queue
    Enqueues (8x100000): 654ms
    Dequeues (8x100000): 810ms
    Fair mpmc (~1000000 items, 4 enq, 4 deq): 1185ms
    Enqueue-weighted mpmc (~1000000 items, 6 enq, 2 deq): 998ms
    Dequeue-weighted mpmc (~1000000 items, 2 enq, 6 deq): 1209ms

Hazard Queue
    Enqueues (8x100000): 135ms
    Dequeues (8x100000): 255ms
    Fair mpmc (~1000000 items, 4 enq, 4 deq): 176ms
    Enqueue-weighted mpmc (~1000000 items, 6 enq, 2 deq): 178ms
    Dequeue-weighted mpmc (~1000000 items, 2 enq, 6 deq): 232ms

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.