Scalability comparison: Traditional fork-join-based parallelism vs. Goroutines: Porting the Barcelona OpenMP Tasks Suite to Go
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This document compares traditional fork-join parallelism approaches in C using Cilk and OpenMP to goroutines in Go. It ported the Barcelona OpenMP Tasks Suite (BOTS) to Go to evaluate performance and scalability. Several task pool variations were tested in Go. Microbenchmarks on simple tasks showed good speedup with Go approaching C implementations. BOTS nqueens and sparselu benchmarks also demonstrated good speedup in Go. Recursion caused dependencies that limited parallelism. Memory usage was lower in Go for most tests. Questions about possible heap corruption in Go 1.4 were raised.
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![Traditional approach in C
Cilk:
cilk_spawn task();
[...]
cilk_sync;
OpenMP:
#pragma omp parallel
{
#pragma omp task
[...]
#pragma omp taskwait
[...]
}](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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The Ring programming language version 1.5.3 book - Part 89 of 184
The document describes embedding Ring code in Ring programs without sharing state. It allows quick integration of Ring programs and applications together without conflicts by executing Ring code in isolated environments. Functions like ring_state_init(), ring_state_runcode(), and ring_state_delete() are used to initialize a state, run code in it, and delete it. This prevents variables from one state being accessible from another. Serial execution of Ring applications is also demonstrated using ring_state_main().
Ehsan parallel accelerator-dec2015
These are slides from the Dec 17 SF Bay Area Julia Users meeting [1]. Ehsan Totoni presented the ParallelAccelerator Julia package, a compiler that performs aggressive analysis and optimization on top of the Julia compiler. Ehsan is a Research Scientist at Intel Labs working on the High Performance Scripting project.
[1] http://www.meetup.com/Bay-Area-Julia-Users/events/226531171/
Java 8 - functional features
Functional paradigm, lambdas, functional interfaces, default methods, streams (parallel iteration, lazy evaluation), map & flat map, new Map methods.
Postgres Vision 2018: Making Postgres Even Faster
Andres Freund, a Senior Database Architect at EnterpriseDB, is one of the leading developers of PostgreSQL and his work has been influential in advancing the replication, performance, and scalability capabilities of Postgres. In this presentation he delivered at Postgres Vision 2018, Freund discusses JIT and general performance enhancements to Postgres and explains why PostgreSQL 11 will be the best option for application developers.
Global Interpreter Lock: Episode III - cat < /dev/zero > GIL;
This document summarizes a presentation given at PyCon TW 2017 about removing the Global Interpreter Lock (GIL) in Python to allow multi-threaded Python programs to take advantage of multi-processor systems. It begins with examples showing how the GIL currently prevents parallel execution across threads. It then explores approaches like using the dynamic linker and dlmopen() function to load separate copies of the Python shared library for each thread, thereby removing the shared GIL. While an ideal solution, challenges remain in fully implementing this approach.
Ruby Functional Programming
Ruby supports functional programming principles through features like blocks, lambdas, and immutable objects. Some advantages of a functional style include cleaner code with no side effects, referential transparency allowing parallelization and easier debugging, and the use of recursion instead of loops. While Ruby is an imperative language, applying concepts like map, filter, reduce, and avoiding mutable state can make code more clear and maintainable.
Multiprocessing with python
This document provides an overview of concurrency in Python using multiprocessing and threading. It begins by introducing the speaker and defining key terms like concurrency, threads, and processes. It then discusses the benefits and use cases of threads versus processes. The document also covers the Global Interpreter Lock (GIL) in Python and how multiprocessing can help avoid it. It provides an example benchmark showing multiprocessing can significantly outperform threading for CPU-bound tasks. Finally, it discusses key aspects of Python's multiprocessing module like Process, Queue, Pool, and Manager classes.
Profiling in Python
Profiling in Python provides concise summaries of key profiling tools in 3 sentences:
cProfile and line_profiler profile execution time and identify slow lines of code. memory_profiler profiles memory usage with line-by-line or time-based outputs. YEP extends profiling to compiled C/C++ extensions like Cython modules, which are not covered by the standard Python profilers.
Similar to Scalability comparison: Traditional fork-join-based parallelism vs. Goroutines: Porting the Barcelona OpenMP Tasks Suite to Go (20)
Global Interpreter Lock: Episode I - Break the Seal
Global Interpreter Lock: Episode I - Break the Seal
Доклад Антона Поварова "Go in Badoo" с Golang Meetup
Доклад Антона Поварова "Go in Badoo" с Golang Meetup
The Ring programming language version 1.5.3 book - Part 89 of 184
The Ring programming language version 1.5.3 book - Part 89 of 184
Global Interpreter Lock: Episode III - cat < /dev/zero > GIL;
Global Interpreter Lock: Episode III - cat < /dev/zero > GIL;
Recently uploaded
SCALING OF MOS CIRCUITS m .pptx
this ppt explains about scaling parameters of the mosfet it is basically vlsi subject
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
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本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
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3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
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3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
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6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...Paris Salesforce Developer Group
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
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AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Scalability comparison: Traditional fork-join-based parallelism vs. Goroutines: Porting the Barcelona OpenMP Tasks Suite to Go
- 1. Scalability comparison: Traditional fork-join-based parallelism vs. Goroutines Porting the Barcelona OpenMP Tasks Suite to Go Artjom Simon https://github.com/artjomsimon/go-bots Know Your Gophers 2015-05-12
- 2. Traditional approach in C Cilk: cilk_spawn task(); [...] cilk_sync; OpenMP: #pragma omp parallel { #pragma omp task [...] #pragma omp taskwait [...] }
- 3. Go: Parallel For Loop Pattern1 queue := make(chan int) done := make(chan bool) NP := runtime.GOMAXPROCS(0) go func() { for i := 0; i < n; i++ { queue <- i } close(queue) }() for i := 0; i < NP; i++ { go func() { for i := range queue { work(i) } done<-true }() } for i := 0; i < NP; i++ { <-done } 1 Benchmarking Usability and Performance of Multicore Languages, PDF: http://arxiv.org/pdf/1302.2837v2
- 4. Barcelona OpenMP Tasks Suite2 2 https://github.com/alcides/bots
- 5. ...used in academic publications3 3 http://www.sarc-ip.org/files/null/Workshop/1234128788173_ _TSchedStrat-iwomp08.pdf
- 6. Micro benchmarks 1 8 16 32 48 1 8 16 32 48 OMP_NUM_THREADS Speeduprel.toseq. spc (opteron) n=1000µs n=100µs n=10µs Figure: Speedup spc (icc), 10 000 Tasks
- 7. Task pools: Variations • notaskpool Start Goroutines as needed, no limitation, uses WaitGroup for synchronization • simple-queue Buffered channel of func()s holds task queue. n goroutines receive the func()s and execute them • goroutines-dispatcher Dispatcher function, executing tasks in Goroutine only if a global counter of running goroutines is < n • const-goroutines n goroutines remove tasks from a double-linked list
- 8. Micro benchmarks 1 8 16 32 48 1 8 16 32 48 OMP_NUM_THREADS Speeduprel.zusequentiell spc (opteron) gcc icc clang go-notaskpool go-simple-queue go-const-goroutines go-goroutine-dispatch Figure: Speedup spc, n=100µs, 10 000 Tasks
- 9. BOTS: nqueens • N-Queens problem with n=12 • Recursive backtracking search • No cut-off when creating tasks
- 10. Ergebnisse: BOTS (nqueens) 1 8 16 32 48 0 5 10 CPU cores Speedup nqueens (opteron) gcc icc clang go-const-goroutines go-dispatch go-notaskpool gccgo-const-goroutines gccgo-dispatch gccgo-notaskpool Figure: Speedup for nqueens -n 12, parallel
- 11. BOTS: sparselu • LU factorization of a sparse block matrix • 50x50-Matrix, 100x100 sub block matrices
- 12. Results: BOTS (sparselu) 1 8 16 32 48 0 10 20 30 CPU cores Speedup sparselu (opteron) gcc icc clang go-const-goroutines go-dispatch go-notaskpool go-simplequeue gccgo-const-goroutines gccgo-dispatch gccgo-notaskpool Figure: Speedup sparselu -n 50 -m 100, parallel
- 14. Memory opteron 0 0.5 1 1.5 ·105 RSS[Kbytes] spc-par 10000 1000, 4 Threads gcc icc clang go-notaskpool go-const-goroutines gccgo-notaskpool gccgo-const-goroutines Figure: Memory comparison (Resident Set Size), spc parallel
- 15. Side effect: Possible heap corruption bug in Go 1.4?
- 16. Questions?
- 17. Thank you!
- 18. Image credits Icon N-Queens problem: Colin M.L. Burnett, Wikimedia Commons, (GFDL & BSD & GPL) http://commons.wikimedia.org/wiki/File:Chess_d45.svg (2015-03-09)