Difference between r1.15 and the current
@@ -8,21 +8,7 @@
----
Sub: / Topics
{
WtEn:parallel_processing ??
병렬처리
Ndict:병렬처리 ???
Ggl:병렬처리 ??
...
Google:parallel.processing
[[처리,processing]]
}
{
Sub: / Topics
[[병렬처리,parallel_processing]] =병렬처리,parallel_processing =,parallel_processing 병렬처리 parallel_processing
[[병렬처리,parallel_processing]]
[[병렬화,parallelization]] =병렬화,parallelization =,parallelization 병렬화 parallelization{
@@ -159,6 +145,26 @@
}
----
p ConcurrentParallelDistributed
----
tmp bmks
https://www.raftlib.io/
RaftLib
Simple, easy to use stream computation library for C++.
https://en.wikipedia.org/wiki/RaftLib
{
RaftLib is a portable parallel processing system ...
simple iostream-like operators ...
handles threading, memory allocation, memory placement, and auto-parallelization of compute kernels ....
Programs are authored in C++ (although other language bindings are planned).
}
automatic_parallelization
autoparallelization
자동병렬화?
https://en.wikipedia.org/wiki/Automatic_parallelization
----
Twins:p ConcurrentParallelDistributed
![[ISBN-1-55860-253-4]](http://images.amazon.com/images/P/1558602534.01.MZZZZZZZ.gif "Amazon:ISBN-1558602534")
TODO wikify below
Sub: / Topics
병렬처리,parallel_processing
병렬화,parallelization =병렬화,parallelization =,parallelization 병렬화 parallelization
{
병렬화,parallelization =병렬화,parallelization =,parallelization 병렬화 parallelization
{
병렬컴퓨팅,parallel_computing ?
=병렬컴퓨팅,parallel_computing =,parallel_computing . 병렬컴퓨팅 parallel_computing
{
parallel computing
=병렬컴퓨팅,parallel_computing =,parallel_computing . 병렬컴퓨팅 parallel_computing
{
parallel computing
병렬컴퓨터,parallel_computer =병렬컴퓨터,parallel_computer =,parallel_computer 병렬컴퓨터 parallel_computer
{
parallel_computer ?
{
parallel_computer ?병렬프로그래밍,parallel_programming =병렬프로그래밍,parallel_programming =,parallel_programming . 병렬프로그래밍 parallel_programming
{
병렬프로그래밍
{
병렬프로그래밍
Sub: parallel_programming_model //바로아래
https://www.pls-lab.org/en/Parallel_programming_models
...
병렬프로그래밍 
병렬프로그래밍
...parallel.programming parallel.programming
}
- 두 가지 방법으로 생각할 수 있다, 1. 어떻게 프로세스,processes들이 상호작용하게 할 것인가. 2. 어떻게 문제,problems들을 분해,decomposition한 것인가.
프로그래밍,programming > 컴퓨터프로그래밍,computer_programming...
병렬프로그래밍 병렬프로그래밍...
parallel.programming parallel.programming}
위아래연결
parallel_programming_model =,parallel_programming_model . parallel_programming_model
{
parallel programming model
{
parallel programming model
https://en.wikipedia.org/wiki/Parallel_programming_model
...
parallel programming model
Up: parallel_programming(바로위) programming_model
}
...
parallel programming modelUp: parallel_programming(바로위) programming_model
}
instruction-level_parallelism (ILP)
memory-level_parallelism (MLP)
memory-level_parallelism (MLP)
암달_법칙,Amdahl_law { 
암달의_법칙 = https://ko.wikipedia.org/wiki/암달의_법칙 }
Gustafson_law { Gustafson's law구스타프슨의_법칙 = https://ko.wikipedia.org/wiki/구스타프슨의_법칙 }
암달의_법칙 = https://ko.wikipedia.org/wiki/암달의_법칙 }Gustafson_law { Gustafson's law
구스타프슨의_법칙 = https://ko.wikipedia.org/wiki/구스타프슨의_법칙 }ADDSUBPAGESHERE
ADDSUBPAGESHERE
ADDSUBPAGESHERE
ADDSUBPAGESHERE
ADDSUBPAGESHERE
MKLINK
스레드,thread and multithreading
race_condition경쟁_상태 
Race_condition = https://en.wikipedia.org/wiki/Race_condition
mutual_exclusion mutex
{
Peterson_algorithm { https://ko.wikipedia.org/wiki/피터슨의_알고리즘 https://en.wikipedia.org/wiki/Peterson's_algorithm }
https://en.wikipedia.org/wiki/Mutual_exclusion
}
critical_section임계_구역 https://en.wikipedia.org/wiki/Critical_section
cluster computer_cluster clustering컴퓨터_클러스터
스레드,thread and multithreading
race_condition
경쟁_상태 Race_condition = https://en.wikipedia.org/wiki/Race_conditionmutual_exclusion mutex
{
Peterson_algorithm { https://ko.wikipedia.org/wiki/피터슨의_알고리즘 https://en.wikipedia.org/wiki/Peterson's_algorithm }
https://en.wikipedia.org/wiki/Mutual_exclusion
}
critical_section
임계_구역 https://en.wikipedia.org/wiki/Critical_sectioncluster computer_cluster clustering
컴퓨터_클러스터비교 ¶
concurrency
(동시성?)
동시성 concurren
(병행성?)병행성 - wpko / parallel을 병행으로 번역하는 경우도 있다.[1]
{
모델은
actor_model { 행위자 모델 또는 액터 모델 (wpko)행위자_모델 = https://ko.wikipedia.org/wiki/행위자_모델 Actor_model = https://en.wikipedia.org/wiki/Actor_model }
Petri_net - curr 네트,Net#s-3
process_calculusprocess_calculus .... curr 칼큘러스,calculus?action=highlight&value=process_calculus
입출력 오토마톤
가 있다 (wpko)
(동시성?)
동시성 concurren(병행성?)
병행성 - wpko / parallel을 병행으로 번역하는 경우도 있다.[1]{
모델은
actor_model { 행위자 모델 또는 액터 모델 (wpko)
행위자_모델 = https://ko.wikipedia.org/wiki/행위자_모델 Actor_model = https://en.wikipedia.org/wiki/Actor_model }Petri_net - curr 네트,Net#s-3
process_calculus
process_calculus .... curr 칼큘러스,calculus?action=highlight&value=process_calculusCSP model : communicating_sequential_processes { 커뮤니케이팅_시퀜셜_프로세스 = https://ko.wikipedia.org/wiki/커뮤니케이팅_시퀜셜_프로세스 Communicating_sequential_processes = https://en.wikipedia.org/wiki/Communicating_sequential_processes Up: 형식언어,formal_language }
https://en.wikipedia.org/wiki/Process_calculus
커뮤니케이팅_시퀜셜_프로세스 = https://ko.wikipedia.org/wiki/커뮤니케이팅_시퀜셜_프로세스 Communicating_sequential_processes = https://en.wikipedia.org/wiki/Communicating_sequential_processes Up: 형식언어,formal_language }https://en.wikipedia.org/wiki/Process_calculus
입출력 오토마톤가 있다 (wpko)
병행_컴퓨팅= https://ko.wikipedia.org/wiki/병행_컴퓨팅
Concurrent_computing= https://en.wikipedia.org/wiki/Concurrent_computing
병행성= https://ko.wikipedia.org/wiki/병행성
Concurrency_(computer_science)= https://en.wikipedia.org/wiki/Concurrency_(computer_science)
}
분산 distributed - pagename? distribution ? / 분산시스템,distributed_system / 분산컴퓨팅,distributed_computing / ... distributed
{
message_passing - 메시지,message
distributed_memory - 메모리,memory
distributed{
message_passing - 메시지,message
distributed_memory - 메모리,memory
tmp bmks
https://en.wikipedia.org/wiki/RaftLib
autoparallelization
자동병렬화?
https://en.wikipedia.org/wiki/Automatic_parallelization
{
RaftLib is a portable parallel processing system ...
simple iostream-like operators ...
handles threading, memory allocation, memory placement, and auto-parallelization of compute kernels ....
Programs are authored in C++ (although other language bindings are planned).
}
automatic_parallelizationRaftLib is a portable parallel processing system ...
simple iostream-like operators ...
handles threading, memory allocation, memory placement, and auto-parallelization of compute kernels ....
Programs are authored in C++ (although other language bindings are planned).
}
autoparallelization
자동병렬화?
https://en.wikipedia.org/wiki/Automatic_parallelization
Twins:
p ConcurrentParallelDistributed
p ConcurrentParallelDistributed
----
- [1] "병행처리 (Parallel computation)" https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001688813