Hello,
More of my philosophy about higher-order functions and about generics and about monads and more of my thoughts..
I am a white arab, and i think i am smart since i have also
invented many scalable algorithms and algorithms..
I have just looked at the following new song of a french black guy thaton the following song is becoming violent in his song, but i think that even if we have not equality between people or decent equal opportunity, you have to "correctly" create opportunities for yourself as i am "also" doing it below by talking as i am
is like saying that we don't have equality between people and we don't even have a decent equal opportunity in this world, and equal opportunity means in political philosophy that people are all given an equal chance to 'compete. ' , so the black guy
Soprano - ''Moi J'ai Pas''how i have implemented
https://www.youtube.com/watch?v=ENmKI6TvdpQ
So i invite you to read my following new thoughts about generics and higher-order functions etc. and notice that of course i am quickly thinking and writing my following thoughts:
As you have just noticed , i have just talked more about Delphi
and Freepascal compilers, read it below, but of course Modern Object Pascal of Delphi and Freepascal support generics, and you have to know how to be smart by implementing something that looks like Lambdas by using generics, and i invite you to look at
it with Freepascal that doesn't support Lambdas, but you have to know that Freepascal will soon support Lambdas or Anonymous methods, look at my following software project and look how i have implemented something that look like Lambdas by usinggenerics, so look at my following open source software project so that to notice it:
Delphi and Freepascal Libraries that implement higher-order functions like Map, Reduce and Filterscalable higher-order functions like Map, Reduce and Filter using Delphi and Freepascal, so it will be a very powerful library.
https://sites.google.com/site/scalable68/delphi-library-that-implements-higher-order-functions-like-map-reduce-and-filter
About scalable higher-order functions like Map, Reduce and Filter..
MapReduce is a pattern introduced in 2004 in the paper “MapReduce: Simplified Data Processing on Large Clusters,” by Jeffrey Dean and Sanjay Ghemawat (https://research.google.com/archive/mapreduce-osdi04.pdf), and I will soon implement parallel and
And my open source software powerful project called EasyList for Delphi and Freepascal was updated to version 1.6..Lambdas and templated Lambdas, but i think that Delphi will soon also support generic Lambdas, and in Delphi and Freepascal compilers there is no big runtime like in C# and such compilers, so you get small native executables in Delphi
I have now documented all the methods.
You can download and read about my powerful EasyList version 1.6 from my website here:
https://sites.google.com/site/scalable68/easylist-for-delphi-and-freepascal
More of my philosophy about Delphi and Freepascal and more of my thoughts..
As you have just noticed, i have just talked about my PERT++ and
my JNI wrapper that i have written in Modern Object Pascal
of Delphi and Freepascal compilers, read it below, but why do you think i am also programming in Delphi and Freepascal ?
Of course that Delphi and Freepascal compilers support modern Object Pascal, it is not only Pascal, but it is modern Object Pascal, i mean
that modern Object Pascal of for example Delphi and Freepascal support object oriented programming and support Anonymous methods or typed Lambdas , so i think that it is a decent programming language, even if i know that the new C++ 20 supports generic
and Freepascal, and inline assembler is supported by both Delphilanguage Rust or the pure functional programming languages, so it can also be flexible and advantageous to not be this kind of strictness, and the compilation times of Delphi is extremely fast , and of course Freepascal supports the Delphi mode so that
and Freepascal, and Lazarus the IDE of Freepascal and Delphi come
both with one of the best GUI tools, and of course you can make .SO, .DLL, executables, etc. in both Delphi and Freepascal, and both Delphi
and Freepascal compilers are Cross platform to Windows, Linux and Mac
and Android etc. , and i think that modern Object Pascal of Delphi
or Freepascal is more strongly typed than C++ , but less strongly typed than ADA programming language, but i think that modern Object Pascal of Delphi and Freepascal are not Strict as the programming language ADA and are not strict as the programming
And you can read about the last version 11.2 of Delphi from here:
https://www.embarcadero.com/products/delphi
And you can read about Freepascal and Lazarus from here:
https://www.freepascal.org/
https://www.lazarus-ide.org/
More of my philosophy about Asynchronous programming and about the futures and about the ActiveObject and about technology and more of my thoughts..
I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, i think from my new implementation of
future below, you can notice that Asynchronous programming is not a simple task, since it can get too much complicated , since you can
notice in my implementation below that if i make the starting of the thread of the future out of the constructor and if i make the passing of the parameter as a pointer to the future out of the constructor , it
will get more complex to get the automaton of how to use
and call the methods right and safe, so i think that there is
still a problem with Asynchronous programming and it is that
when you have many Asynchronous tasks or threads it can get
really complex, and i think that it is the weakness of Asynchronous programming, and of course i am also speaking of the implementation
of a sophisticated ActiveObject or a future or complex Asynchronous programming.
More of my philosophy about my new updated implementation of a future and about the ActiveObject and about technology and more of my thoughts..
I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, so i have just updated my implementationjust added support for exceptions, so you have to know that programming with futures is asynchronous programming, but so that to be robust the future implementation has to deal correctly with "exceptions", so in my implementation of a future when an
of a future, and now both the starting the thread of the future and the passing the parameter as a pointer to the future is made from the constructor so that to make safe the system of the automaton of the how to use and call the methods, and I have
Threadpool engine with priorities
https://sites.google.com/site/scalable68/threadpool-engine-with-priorities
And stay tuned since i will enhance more my above Threadpool engine with priorities.
So you can download my new updated portable and efficient implementation of a future in Delphi and FreePascal version 1.32 from my website here:
https://sites.google.com/site/scalable68/a-portable-and-efficient-implementation-of-a-future-in-delphi-and-freepascal
And here is a new example program of how to use my implementation of a future in Delphi and Freepascal and notice that the interface has changed a little bit:
--
program TestFuture;
uses system.SysUtils, system.Classes, Futures;
type
TTestFuture1 = class(TFuture)
public
function Compute(ptr:pointer): Variant; override;
end;
TTestFuture2 = class(TFuture)
public
function Compute(ptr:pointer): Variant; override;
end;
var obj1:TTestFuture1;
obj2:TTestFuture2;
a:variant;
function TTestFuture1.Compute(ptr:pointer): Variant;
begin
raise Exception.Create('I raised an exception');
end;
function TTestFuture2.Compute(ptr:pointer): Variant;
begin
writeln(nativeint(ptr));
result:='Hello world !';
end;
begin
writeln;
obj1:=TTestFuture1.create(pointer(12));
if obj1.GetValue(a) then writeln(a)
else if obj1.HasException then writeln(obj1.ExceptionStr);
obj1.free;
writeln;
obj2:=TTestFuture2.create(pointer(12));
if obj2.GetValue(a) then writeln(a);
obj2.free;
end.
---
More of my philosophy about the 12 memory channels of
the new AMD Epyc Genoa CPU and more of my thoughts..
I am a white arab, and i think i am smart since i have also
invented many scalable algorithms and algorithms..
So as i am saying below, i think that so that to use 12 memoryGenoa 9124 16 cores with 64 MB of L3 cache with 4 Core Complex Dies (CCDs), that costs around $1000 (Look at it here: https://www.tomshardware.com/reviews/amd-4th-gen-epyc-genoa-9654-9554-and-9374f-review-96-cores-zen-4-and-5nm-disrupt-the-data-center ),
channels in parallel that supports it the new AMD Genoa CPU, the GMI-Wide mode must enlarge more and connects each CCD with more GMI links, so i think that it is what is doing AMD in its new 4 CCDs configuration, even with the costs optimized Epyc
More of my philosophy about the new Zen 4 AMD Ryzen™ 9 7950X and more of my thoughts..
So i have just looked at the new Zen 4 AMD Ryzen™ 9 7950X CPU, and i invite you to look at it here:System Solver Library that scales very well is scaling around 8X on my 16 cores Intel Xeon with 2 NUMA nodes and with 8 memory channels, but it will not scale correctly on the
https://www.amd.com/en/products/cpu/amd-ryzen-9-7950x
But notice carefully that the problem is with the number of supported memory channels, since it just support two memory channels, so it is not good, since for example my following Open source software project of Parallel C++ Conjugate Gradient Linear
new Zen 4 AMD Ryzen™ 9 7950X CPU with just 2 memory channels since it is also memory-bound, and here is my Powerful Open source software project of Parallel C++ Conjugate Gradient Linear System Solver Library that scales very well and i invite you totake carefully a look at it:
https://sites.google.com/site/scalable68/scalable-parallel-c-conjugate-gradient-linear-system-solver-library
So i advice you to buy an AMD Epyc CPU or an Intel Xeon CPU that supports 8 memory channels.
---
And of course you can use the next Twelve DDR5 Memory Channels for Zen 4 AMD EPYC CPUs so that to scale more my above algorithm, and read about it here:
https://www.tomshardware.com/news/amd-confirms-12-ddr5-memory-channels-on-genoa
And here is the simulation program that uses the probabilistic mechanism that i have talked about and that prove to you that my algorithm of my Parallel C++ Conjugate Gradient Linear System Solver Library is scalable:functions i am using a probabilistic mechanism so that to render my algorithm scalable on NUMA architecture , and it also make it scale on the memory channels, what i am doing is scrambling the array parts using a probabilistic function and what i have
If you look at my scalable parallel algorithm, it is dividing the each array of the matrix by 250 elements, and if you look carefully i am using two functions that consumes the greater part of all the CPU, it is the atsub() and asub(), and inside those
Here is the simulation that i have done, please run it and you will notice yourself that my parallel algorithm is scalable on NUMA architecture.
Here it is:
---
program test;
uses math;
var tab,tab1,tab2,tab3:array of integer; a,n1,k,i,n2,tmp,j,numa_nodes:integer;
begin
a:=250;
Numa_nodes:=4;
setlength(tab2,a);
for i:=0 to a-1
do
begin
tab2:=i mod numa_nodes;
end;
setlength(tab,a);
randomize;
for k:=0 to a-1
do tab:=k;
n2:=a-1;
for k:=0 to a-1
do
begin
n1:=random(n2);
tmp:=tab;
tab:=tab[n1];
tab[n1]:=tmp;
end;
setlength(tab1,a);
randomize;
for k:=0 to a-1
do tab1:=k;
n2:=a-1;
for k:=0 to a-1
do
begin
n1:=random(n2);
tmp:=tab1;
tab1:=tab1[n1];
tab1[n1]:=tmp;
end;
for i:=0 to a-1
do
if tab2[tab]=tab2[tab1] then
begin
inc(j);
writeln('A contention at: ',i);
end;
writeln('Number of contention points: ',j);
setlength(tab,0);
setlength(tab1,0);
setlength(tab2,0);
end.
---
More of my philosophy about 4 CCDs configuration of AMD Epyc Genoa CPU and more of my thoughts..
I have just read the following new paper about AMD 4th Gen EPYC 9004 Series, so i invite you to read it carefully:
https://hothardware.com/reviews/amd-genoa-data-center-cpu-launch
So read carefully the 4 CCDs configuration, so i am understanding
the following from it:
I/O DIE is what is connected to the memory channels externally, and it says that SKUs north of 4 CCDs (e.g. 32 cores) use the GMI3-Narrow configuration with a single GMI link per CCD. With 4 CCD and lower SKUs, AMD can implement GMI-Wide mode whichjoins each CCD to the IOD with two GMI links. In this case, one link of each CCD populates GMI0 to GMI3 while the other link of each CCD populates GMI8 to GMI11 as diagramed above. This helps these parts better balance against I/O demands.
So i think that that AMD implemented in his new 4 CCDs configuration the GMI-Wide mode which joins each CCD to the IOD with two GMI links, so that to be connected to the 8 memory channels externally and use them in parallel, so i think that the problemis solved, since i think that the cost optimized Epyc Genoa 9124 16 cores with 64 MB of L3 cache with 4 Core Complex Dies (CCDs), that costs around $1000 (Look at it here: https://www.tomshardware.com/reviews/amd-4th-gen-epyc-genoa-9654-9554-and-9374f-
can use fully the 8 memory channels in parallel, so it is a good Epyc Genoa processor to buy.
And of course i invite you to read the following:
More of my philosophy about the new Epyc Genoa and about Core Complex Die (CCD) and Core-complex(CCX) and more of my thoughts..
I have just looked at the following paper from AMD and i invite
you to look at it:
https://developer.amd.com/wp-content/resources/56827-1-0.pdf
And as you notice above that you have to look at how many
Core Complex Dies (CCDs) you have, since it tells you more
about how many connections of Infinity Fabric you have, and it is
an important information, since look at the following article
about the new AMD Epyc Genoa:
https://wccftech.com/amd-epyc-genoa-cpu-lineup-specs-benchmarks-leak-up-to-2-6x-faster-than-intel-xeon/
And you can read much more of my thoughts about technology in the following web links:
https://groups.google.com/g/alt.culture.morocco/c/MosH5fY4g_Y
And here:
https://groups.google.com/g/soc.culture.usa/c/N_UxX3OECX4
More of my philosophy about my PERT++ and about my JNI Wrapper for Delphi and FreePascal and about the new Java SE Development Kit 19.0.1 and more of my thoughts..
I am a white arab, and i think i am smart since i have also
invented many scalable algorithms and algorithms..
I have just downloaded and installed the new Java SE Development Kit 19.0.1
Here it is:
https://www.oracle.com/java/technologies/javase/jdk19-archive-downloads.html
And i have just tested my open source JNI Wrapper for Delphi and FreePascal with the Java SE Development Kit 19.0.1, and it is working perfectly, so you can download my JNI Wrapper for Delphi and FreePascal from my website here:
https://sites.google.com/site/scalable68/jni-wrapper-for-delphi-and-freepascal
And I have also tested my other open source software project called PERT++ with the new Java SE Development Kit 19.0.1, and it is working perfectly, so you can download my PERT++ from my website here:theorem by using the inverse normal distribution function, and you have to provide my software project that is called PERT++ with three types of estimates that are the following:
https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal
And I have in my PERT++ provided you with two ways of how to estimate the critical path, first, by the way of CPM(Critical Path Method) that shows all the arcs of the estimate of the critical path, and the second way is by the way of the central limit
Optimistic time - generally the shortest time in which the activityskewed, has multiple peaks, and/or has outliers), researchers like the sample size to be even larger. So i invite you to read my following thoughts about my software
can be completed. It is common practice to specify optimistic times
to be three standard deviations from the mean so that there is
approximately a 1% chance that the activity will be completed within
the optimistic time.
Most likely time - the completion time having the highest
probability. Note that this time is different from the expected time.
Pessimistic time - the longest time that an activity might require. Three standard deviations from the mean is commonly used for the pessimistic time.
The central limit theorem states that the sampling distribution of the mean of any independent, random variable will be normal or nearly normal, if the sample size is large enough.
How large is "large enough"?
In practice, some statisticians say that a sample size of 30 is large enough when the population distribution is roughly bell-shaped. Others recommend a sample size of at least 40. But if the original population is distinctly not normal (e.g., is badly
project that is called PERT++, and notice that the PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probabilitydistribution functions, and have finite ranges. So PERT uses the central limit theorem (CLT) to find the expected project duration.
So I have provided you in my PERT++ with the following functions:
function NormalDistA (const Mean, StdDev, AVal, BVal: Extended): Single;Bval.
function NormalDistP (const Mean, StdDev, AVal: Extended): Single;
function InvNormalDist(const Mean, StdDev, PVal: Extended; const Less: Boolean): Extended;
For NormalDistA() or NormalDistP(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the probability of the value Aval or the probability between the values of Aval and
For InvNormalDist(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the length of the critical path of the probability PVal, and when Less is TRUE, you will obtain acumulative distribution.
So as you are noticing from my above thoughts that since PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with knownprobability distribution functions, and have finite ranges. So PERT uses the central limit theorem (CLT) to find the expected project duration. So then you have to use my above functions
that are Normal distribution and inverse normal distribution functions, please look at my demo inside my zip file to understand better how i am doing it:
You can download and read about my PERT++ from my website here:
https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal
Thank you,
Amine Moulay Ramdane.
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