Introduction to Parallel Computing - Histórico de revisão

V1z: c language review linx

2020-10-23T17:02:02Z

c language review linx

← Edição anterior		Edição das 14h02min de 23 de outubro de 2020
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	* C/C++ - intermediate to advanced (will be reviewed) - read [[Literatura recomendada pela equipe\|Recommended Reading]]		* C/C++ - intermediate to advanced (will be reviewed) - read [[Literatura recomendada pela equipe\|Recommended Reading]]
	** [[Configuring Ubuntu for Programming]]		** [[Configuring Ubuntu for Programming]]
			** [[C\|C language review videos and exercises by prof. Fabbri]]
	* Basic understanding of computer architecture - read "Computer Systems: A Programmer's perspective" listed at [[Literatura recomendada pela equipe\|Recommended Reading]].		* Basic understanding of computer architecture - read "Computer Systems: A Programmer's perspective" listed at [[Literatura recomendada pela equipe\|Recommended Reading]].

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	## See the book Running Linux from the [[Literatura_recomendada_pela_equipe\| Recommended Reading]]		## See the book Running Linux from the [[Literatura_recomendada_pela_equipe\| Recommended Reading]]
	# Review of C/C++ (finished 28/Aug)		# Review of C/C++ (finished 28/Aug)
			## [[C\|C language review videos and exercises by prof. Fabbri]]
	# Fundamental programming techniques: processes and threads		# Fundamental programming techniques: processes and threads
	## Read The Unix Programming Environment for some classic multi-process programming[http://wiki.nosdigitais.teia.org.br/Literatura_recomendada_pela_equipe]		## Read The Unix Programming Environment for some classic multi-process programming[http://wiki.nosdigitais.teia.org.br/Literatura_recomendada_pela_equipe]

V1z em 02h21min de 2 de abril de 2019

2019-04-02T02:21:29Z

← Edição anterior		Edição das 23h21min de 1 de abril de 2019
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	== General Info ==		== General Info ==
	* Instructor: prof. [http://~~www~~.~~lems~~.~~brown.edu/~rfabbri~~ Ricardo Fabbri], Ph.D. Brown University		* Instructor: prof. [http://rfabbri.github.io Ricardo Fabbri], Ph.D. Brown University
	* Meeting times: Tuesdays 2:20pm-4pm Thursdays 8:50am - 10:30am, room (205?)		* Meeting times: Tuesdays 2:20pm-4pm Thursdays 8:50am - 10:30am, room (205?)
	* Evaluation criteria: 1 quizz at midterm (60%), practical projects (40%).		* Evaluation criteria: 1 quizz at midterm (60%), practical projects (40%).

V1z: /* Homework */

2017-06-22T14:09:44Z

Homework

← Edição anterior		Edição das 11h09min de 22 de junho de 2017
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	You'll receive random questions in class about it.		You'll receive random questions in class about it.

	=== Homework: IPRJ Cluster system specs (due ~~26Abr17~~) ===		=== Homework: IPRJ Cluster system specs (due 26Jun17) ===
	* Update the info on our cluster environment described [https://drive.google.com/drive/u/0/folders/0B8Z1cZSIN8qyQUVGdzhpS0dUZGM here].		* Update the info on our cluster environment described [https://drive.google.com/drive/u/0/folders/0B8Z1cZSIN8qyQUVGdzhpS0dUZGM here].
	* Confirm the info and update where necessary, and hand it in.		* Confirm the info and update where necessary, and hand it in.

	=== Homework: Compile a basic example of each technology (due ~~26Abr17~~) ===		=== Homework: Compile a basic example of each technology (due 26Jun17) ===
	* Log onto the university cluster and compile a simple example of:		* Log onto the university cluster and compile a simple example of:
	** MPI		** MPI
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	** Cuda		** Cuda
	** OpenMP		** OpenMP
	** ~~Pthreads~~		** POSIX threads
	** fork/join		** fork/join with shared memory
	** Any other technology you are interested in.		** Any other technology you are interested in.
	~~Show~~ your results to the instructor next class by logging onto the cluster and running the basic examples.		Pick at least 5 technologies and show your results to the instructor next class by logging onto the cluster and running the basic examples.

	=== Homework: limit counters ===		=== Homework: limit counters ===

V1z: /* Homework */

2017-06-22T14:07:19Z

Homework

@@ Linha 119: / Linha 119: @@
 Go over [http://www.gnu.org/software/parallel/parallel_tutorial.html Parallel's tutorial] and report your findings.
 You'll receive random questions in class about it.
 === Homework: limit counters ===

V1z: /* Main Resources */

2017-05-04T11:40:38Z

Main Resources

← Edição anterior		Edição das 08h40min de 4 de maio de 2017
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	** http://en.wikipedia.org/wiki/Hadoop		** http://en.wikipedia.org/wiki/Hadoop
	* Rice lecture notes on Parallel Computing [http://www.clear.rice.edu/comp422/lecture-notes/index.html]		* Rice lecture notes on Parallel Computing [http://www.clear.rice.edu/comp422/lecture-notes/index.html]
			* Raspberry Pi & Parallel computing (cheap and useful for building mobile clusters, education, learning mobile parallel programming, IoT + Parallel computing, prototyping the construction of larger clusters etc)
			** http://www.networkworld.com/article/3156748/computers/10-amazing-raspberry-pi-clusters.html#slide2
			** Learn to build and program for clusters with MPI, Python and Raspberry Pi:
			*** https://www.southampton.ac.uk/~sjc/raspberrypi/raspberry_pi_iridis_lego_supercomputer_paper_cox_Jun2013.pdf
			*** http://www.meccanismocomplesso.org/en/cluster-e-programmazione-in-parallelo-con-mpi-e-raspberry-pi/
			*** http://thundaxsoftware.blogspot.com.br/2016/07/creating-raspberry-pi-3-cluster.html
	* Other Resources		* Other Resources
	** http://www-users.cs.umn.edu/~karypis/parbook/		** http://www-users.cs.umn.edu/~karypis/parbook/
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	** Running Hadoop On Ubuntu Linux Multi and Single Node Cluster [http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/]		** Running Hadoop On Ubuntu Linux Multi and Single Node Cluster [http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/]
	** Short course on CUDA at [http://webmail.iprj.uerj.br/xvemc/ emc 2012] conference: http://josericardojunior.com/?p=219		** Short course on CUDA at [http://webmail.iprj.uerj.br/xvemc/ emc 2012] conference: http://josericardojunior.com/?p=219
	* Raspberry Pi & Parallel computing (cheap and useful for building mobile clusters, education, learning mobile parallel programming, IoT + Parallel computing, prototyping the construction of larger clusters etc)
	** Learn to build and program for clusters with MPI, Python and Raspberry Pi:
	*** https://www.southampton.ac.uk/~sjc/raspberrypi/raspberry_pi_iridis_lego_supercomputer_paper_cox_Jun2013.pdf
	*** http://www.meccanismocomplesso.org/en/cluster-e-programmazione-in-parallelo-con-mpi-e-raspberry-pi/
	*** http://thundaxsoftware.blogspot.com.br/2016/07/creating-raspberry-pi-3-cluster.html

	=== Lectures ===		=== Lectures ===

V1z: /* Main Resources */

2017-05-04T11:27:49Z

Main Resources

← Edição anterior		Edição das 08h27min de 4 de maio de 2017
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	** Running Hadoop On Ubuntu Linux Multi and Single Node Cluster [http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/]		** Running Hadoop On Ubuntu Linux Multi and Single Node Cluster [http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/]
	** Short course on CUDA at [http://webmail.iprj.uerj.br/xvemc/ emc 2012] conference: http://josericardojunior.com/?p=219		** Short course on CUDA at [http://webmail.iprj.uerj.br/xvemc/ emc 2012] conference: http://josericardojunior.com/?p=219
	* Raspberry Pi & Parallel computing (cheap and useful for education, IoT + Parallel computing, etc)		* Raspberry Pi & Parallel computing (cheap and useful for building mobile clusters, education, learning mobile parallel programming, IoT + Parallel computing, prototyping the construction of larger clusters etc)
	** Learn to build and program for clusters with MPI, Python and Raspberry Pi:		** Learn to build and program for clusters with MPI, Python and Raspberry Pi:
	*** https://www.southampton.ac.uk/~sjc/raspberrypi/raspberry_pi_iridis_lego_supercomputer_paper_cox_Jun2013.pdf		*** https://www.southampton.ac.uk/~sjc/raspberrypi/raspberry_pi_iridis_lego_supercomputer_paper_cox_Jun2013.pdf

V1z: /* Main Resources */ raspberry pi clustering

2017-05-04T11:24:57Z

Main Resources: raspberry pi clustering

← Edição anterior		Edição das 08h24min de 4 de maio de 2017
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	** Running Hadoop On Ubuntu Linux Multi and Single Node Cluster [http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/]		** Running Hadoop On Ubuntu Linux Multi and Single Node Cluster [http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/]
	** Short course on CUDA at [http://webmail.iprj.uerj.br/xvemc/ emc 2012] conference: http://josericardojunior.com/?p=219		** Short course on CUDA at [http://webmail.iprj.uerj.br/xvemc/ emc 2012] conference: http://josericardojunior.com/?p=219
			* Raspberry Pi & Parallel computing (cheap and useful for education, IoT + Parallel computing, etc)
			** Learn to build and program for clusters with MPI, Python and Raspberry Pi:
			*** https://www.southampton.ac.uk/~sjc/raspberrypi/raspberry_pi_iridis_lego_supercomputer_paper_cox_Jun2013.pdf
			*** http://www.meccanismocomplesso.org/en/cluster-e-programmazione-in-parallelo-con-mpi-e-raspberry-pi/
			*** http://thundaxsoftware.blogspot.com.br/2016/07/creating-raspberry-pi-3-cluster.html

	=== Lectures ===		=== Lectures ===

V1z: /* Homework: system specs (due 27Abr17) */

2017-04-24T16:51:37Z

Homework: system specs (due 27Abr17)

← Edição anterior		Edição das 13h51min de 24 de abril de 2017
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	* The typical parameters for each component (clock, typical number of cores, number of threads, typical amount of storage)		* The typical parameters for each component (clock, typical number of cores, number of threads, typical amount of storage)
	* The more parameters / detail you add, the greater the points you'll get for this assignment.		* The more parameters / detail you add, the greater the points you'll get for this assignment.
			* In particular, you should answer whether each of these direct connections exist and what is the typical transfer speed
			** CUDA-CUDA same node
			** CUDA-CUDA different nodes
			** Same for Xeon Phi

	=== Homework: Unix tutorial (half due 27Abr17, half due 4Mai17) ===		=== Homework: Unix tutorial (half due 27Abr17, half due 4Mai17) ===

V1z: /* Homework: Shell + GNU Parallel (due 4Abr17) */

2017-04-24T16:38:28Z

Homework: Shell + GNU Parallel (due 4Abr17)

← Edição anterior		Edição das 13h38min de 24 de abril de 2017
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	Go over the [[LUPE]] tutorial and send me the command history (~/.bash_history) as a text file. Edit the text file to contain the output of your actions.		Go over the [[LUPE]] tutorial and send me the command history (~/.bash_history) as a text file. Edit the text file to contain the output of your actions.

	=== Homework: Shell + GNU Parallel (due ~~4Abr17~~) ===		=== Homework: Shell + GNU Parallel (due 4Mai17) ===
	Go over [http://www.gnu.org/software/parallel/parallel_tutorial.html Parallel's tutorial] and report your findings.		Go over [http://www.gnu.org/software/parallel/parallel_tutorial.html Parallel's tutorial] and report your findings.
	You'll receive random questions in class about it.		You'll receive random questions in class about it.

V1z: /* Homework: Shell + GNU Parallel */

2017-04-24T16:38:10Z

Homework: Shell + GNU Parallel

← Edição anterior		Edição das 13h38min de 24 de abril de 2017
Linha 106:		Linha 106:
	Go over the [[LUPE]] tutorial and send me the command history (~/.bash_history) as a text file. Edit the text file to contain the output of your actions.		Go over the [[LUPE]] tutorial and send me the command history (~/.bash_history) as a text file. Edit the text file to contain the output of your actions.

	=== Homework: Shell + GNU Parallel ===		=== Homework: Shell + GNU Parallel (due 4Abr17) ===
	Go over [http://www.gnu.org/software/parallel/parallel_tutorial.html Parallel's tutorial] and report your findings.		Go over [http://www.gnu.org/software/parallel/parallel_tutorial.html Parallel's tutorial] and report your findings.
	You'll receive random questions in class about it.		You'll receive random questions in class about it.