- cmsg cancel <ntj6b9$u0r$16@dont-email.me> - 3 Updates
- Universal Scalability Law program - 1 Update
- C++ synchronization objects library - 1 Update
- Scalable Parallel C++ Conjugate Gradient Linear System Solver,Library version 1.53 - 1 Update
bleachbot <bleachbot@httrack.com>: Oct 11 07:09PM +0200 |
bleachbot <bleachbot@httrack.com>: Oct 11 07:10PM +0200 |
bleachbot <bleachbot@httrack.com>: Oct 11 07:19PM +0200 |
Ramine <ramine@1.1>: Oct 11 01:19PM -0400 Hello....... Universal Scalability Law program Author: Amine Moulay Ramdane. Email: aminer@videotron.ca Description: This program analyzes system performance data with the Universal Scalability Law. You can download it from and read about it from here https://sites.google.com/site/aminer68/universal-scalability-law-for-delphi-and-freepascal Thank you, Amine Moulay Ramdane. |
Ramine <ramine@1.1>: Oct 11 01:10PM -0400 Hello.... C++ synchronization objects library Author: Amine Moulay Ramdane Email: aminer@videotron.ca Description: This library contains 9 synchronization objects, first one is my scalable SeqlockX that is a variant of Seqlock that eliminates the weakness of Seqlock that is "livelock"of the readers when there is more writers, and second is my scalable MLock that is a scalable lock , and third is my SemaMonitor that combines all characteristics of a semaphore and an eventcount and also a windows Manual-reset event and also a windows Auto-reset event, and fourth is my scalable DRWLock that is a scalable reader-writer lock that is starvation-free and it does spin-wait, and five is is my scalable DRWLockX that is a scalable reader-writer lock that is starvation-free and it doesn't spin-wait, but it waits on the Event objects and my SemaMonitor, so it is energy efficient, and six one is my scalable asymmetric DRWLock that doesn't use any atomic operations and/or StoreLoad style memory barriers on the reader side, so it look like RCU, and it is fast. This scalable Asymmetric Distributed Reader-Writer Mutex is FIFO fair on the writer side and FIFO fair on the reader side and of course it is starvation-free and it does spin-wait, and seven one is my scalable asymmetric DRWLockX that doesn't use any atomic operations and/or StoreLoad style memory barriers on the reader side, so it look like RCU, and it is fast. This scalable Asymmetric Distributed Reader-Writer Mutex is FIFO fair on the writer side and FIFO fair on the reader side and of course it is starvation-free, and it does not spin-wait, but it waits on Event objects and my SemaMonitor, so it is energy efficient, and eight is my LW_Asym_RWLockX that is a lightweight scalable Asymmetric Reader-Writer Mutex that uses a technic that looks like Seqlock without looping on the reader side like Seqlock, and this has permited the reader side to be costless, it is FIFO fair on the writer side and FIFO fair on the reader side and it is of course Starvation-free and it does spin-wait, and nine is my Asym_RWLockX, a lightweight scalable Asymmetric Reader-Writer Mutex that uses a technic that looks like Seqlock without looping on the reader side like Seqlock, and this has permited the reader side to be costless, it is FIFO fair on the writer side and FIFO fair on the reader side and it is of course Starvation-free and it does not spin-wait, but waits on my SemaMonitor, so it is energy efficient. My scalable Asymmetric Reader-Writer Mutex calls the windows FlushProcessWriteBuffers() just one time, but my scalable Asymmetric Distributed Reader-Writer Mutex calls FlushProcessWriteBuffers() many times. You can download it from: https://sites.google.com/site/aminer68/c-synchronization-objects-library I have implemented my inventions with FreePascal and Delphi compilers that don't reorder loads and stores even with compiler optimization, and this is less error prone than C++ that follows a relaxed memory model when compiled with optimization, so i have finally compiled my algorithms implementations with FreePascal into Dynamic Link Libraries that are used by C++ in a form of my C++ Object Synchronization Library. If you take a look at the zip file , you will notice that it contains the DLLs Object pascal source codes, to compile those dynamic link libraries source codes you will have to download my SemaMonitor Object pascal source code and my SeqlockX Object pascal source code and my scalable MLock Object pascal source code and my scalable DRWLock Object pascal source code from here: https://sites.google.com/site/aminer68/ I have compiled and included the 32 bit and 64 bit windows Dynamic Link libraries inside the zip file, if you want to compile the dynamic link libraries for Unix and Linux and OSX on (x86) , please download the source codes of my SemaMonitor and my scalable SeqlockX and my scalable MLock and my scalable DRWLock and compile them yourself. My SemaMonitor of my C++ synchronization objects library is easy to use, it combines all characteristics of a semaphore and an eventcount and also a windows Manual-reset event and also a windows Auto-reset event, here is its C++ interface: class SemaMonitor{ SemaMonitor(bool state, long1 InitialCount1=0,long1 MaximumCount1=INFINITE); ~SemaMonitor(); void wait(signed long mstime=INFINITE); void signal(); void signal_all(); void signal(long1 nbr); void setSignal(); void resetSignal(); long2 WaitersBlocked(); }; So when you set the first parameter that is state of the constructor to true. it will add the characteristic of a Semaphore to the to the Eventcount, so the signal will not be lost if the threads are not waiting for the SemaMonitor objects, but when you set the first parameter of the construtor to false, it will not behave like a Semaphore because if the threads are not waiting for the SemaCondvar or SemaMonitor the signal will be lost.. the parameters InitialCount1 and MaximumCount1 is the semaphore InitialCount and MaximumCount. The wait() method is for the threads to wait on the SemaMonitor object for the signal to be signaled. and the signal() method will signal one time a waiting thread on the SemaMonitor object. the signal_all() method will signal all the waiting threads on the SemaMonitor object. the signal(long2 nbr) method will signal nbr number of waiting threads the setSignal() and resetSignal() methods behave like the windows Event object's methods that are setEvent() and resetEvent(). and WaitersBlocked() will return the number of waiting threads on the SemaMonitor object. As you have noticed my SemaMonitor is a powerful synchronization object. Please read the readme files inside the zip file to know more about them.. Here is my new invention that is my new algorithm: I have invented a new algorithm of my scalable Asymmetric Distributed Reader-Writer Mutex, and this one is costless on the reader side, this one doesn't use any atomic operations and/or StoreLoad style memory barriers on the reader side, my new algorithm has added a technic that looks like Seqlock, but this technic doesn't loop as Seqlock. Here is my algorithm: On the reader side we have this: -- procedure TRWLOCK.RLock(var myid:integer); var myid1:integer; id:long; begin myid1:=0; id:=FCount5^.fcount5; if (id mod 2)=0 then FCount1^[myid1].fcount1:=1 else FCount1^[myid1].fcount1:=2; if ((FCount3^.fcount3=0) and (id=FCount5^.fcount5) and (FCount1^[myid1].fcount1=1)) then else begin LockedExchangeAdd(nbr^.nbr,1); if FCount1^[myid1].fcount1=2 then LockedExchangeAdd(FCount1^[myid1].fcount1,-2) else if FCount1^[myid1].fcount1=1 then LockedExchangeAdd(FCount1^[myid1].fcount1,-1); event2.wait; LockedExchangeAdd(FCount1^[myid1].fcount1,1); LockedExchangeAdd(nbr^.nbr,-1); end; end; -- The writer side will increment FCount5^.fcount5 like does a Seqlock, and the reader side will grap a copy of FCount5^.fcount5 and copy it on the id variable, if (id modula 2) is equal to zero that means the writer side has not modified yet Fcount3^.fcount3, and the reader side will test again if FCount3^.fcount3 equal 0, and if id=FCount5^.fcount5 didn't change and if FCount1^[myid1].fcount1 that we have assigned before didn't change and that means that we are sure that the writer side will block on FCount1^[myid1].fcount1 equal 1. And notice with me that i am not looping like in Seqlock. And the rest of my algorithm is easy to understand. This technic that looks like Seqlock without looping like Seqlock will allow us to be sure that although the x86 architecture will reorder the loads of the inside reader critical section , the loads inside the reader critical section will not go beyond the load of FCount5^.fcount5 and this will allow my algorithm to work correctly. My algorithm is FIFO fair on the writer side and FIFO fair on the Reader side , and of course it is Starvation-free, and it is suitable for realtime critical systems. My Asym_RWLockX and LW_Asym_RWLockX algorithms work the same. You will find the source code of my new algorithm here: https://sites.google.com/site/aminer68/scalable-distributed-reader-writer-mutex It is the version 2 that is my own algorithm. and you can download the source code of my Asym_RWLockX and LW_Asym_RWLockX algorithms that work the same from here: https://sites.google.com/site/aminer68/scalable-rwlock Language: GNU C++ and Visual C++ and C++Builder Operating Systems: Windows, Linux, Unix and Mac OS X on (x86) Thank you, Amine Moulay Ramdane. |
Ramine <ramine@1.1>: Oct 11 01:09PM -0400 Hello...... Scalable Parallel C++ Conjugate Gradient Linear System Solver Library version 1.53 Author: Amine Moulay Ramdane Description: This library contains a Scalable Parallel implementation of Conjugate Gradient Dense Linear System Solver library that is NUMA-aware and cache-aware, and it contains also a Scalable Parallel implementation of Conjugate Gradient Sparse Linear System Solver library that is cache-aware. Please download the zip file and read the readme file inside the zip to know how to use it. Language: GNU C++ and Visual C++ and C++Builder You can download it from: https://sites.google.com/site/aminer68/scalable-parallel-c-conjugate-gradient-linear-system-solver-library Thank you, Amine Moulay Ramdane. |
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