Threaded execution and continuation-passing style (CPS) allow for smooth switching between execution modes in Zag Smalltalk. Threaded execution interprets code as a sequence of addresses like bytecode but is 2.3-4.7 times faster, while CPS passes continuations explicitly like in functional languages and is 3-5 times faster than bytecode. Both approaches allow fallback to debugging. The implementation shares context and stack between modes to easily switch with proper object structures.
Tackling repetitive tasks with serial or parallel programming in RLun-Hsien Chang
R programming basics
● Syntax forms, data structure, vector, elapsed time
Serial computing
● For loop, vectorised functions, *apply() functions
Parallel computing
● The doParallel, parallel, foreach package
Compare time performance in serial and parallel computing
Workshop "Can my .NET application use less CPU / RAM?", Yevhen TatarynovFwdays
In most cases it’s very hard to predict the number of resources needed for your .NET application. But If you spot some abnormal CPU or RAM usage, how to answer the question “Can my application use less?”.
Let’s see samples from real projects, where optimal resource usage by the application became one of the values for the product owner and see how less resource consumption can be.
The workshop will be actual for .NET developers who are interested in optimization of .NET applications, QA engineers who involved performance testing of .NET applications. It also will be interesting to everyone who "suspected" their .NET applications of non-optimal use of resources, but for some reason did not start an investigation.
Tackling repetitive tasks with serial or parallel programming in RLun-Hsien Chang
R programming basics
● Syntax forms, data structure, vector, elapsed time
Serial computing
● For loop, vectorised functions, *apply() functions
Parallel computing
● The doParallel, parallel, foreach package
Compare time performance in serial and parallel computing
Workshop "Can my .NET application use less CPU / RAM?", Yevhen TatarynovFwdays
In most cases it’s very hard to predict the number of resources needed for your .NET application. But If you spot some abnormal CPU or RAM usage, how to answer the question “Can my application use less?”.
Let’s see samples from real projects, where optimal resource usage by the application became one of the values for the product owner and see how less resource consumption can be.
The workshop will be actual for .NET developers who are interested in optimization of .NET applications, QA engineers who involved performance testing of .NET applications. It also will be interesting to everyone who "suspected" their .NET applications of non-optimal use of resources, but for some reason did not start an investigation.
Capturing NIC and Kernel TX and RX Timestamps for Packets in GoScyllaDB
Go gives us net.Dial and net.Listen for sending and receiving data at Layer 4. Now you will see how to send and receive raw packets directly to and from the NIC at Layer 1 to get timestamp information from timestamping-enabled NICs and when packets enter and leave the Linux kernel. Capturing these timestamps allows us to get better granularity when measuring latency and jitter instead of relying on time.Now() in userspace where that is subject to additional time introduced by the OS and Go runtime schedulers.
Imagine writing a pure Python library which can achieve the performance of Fortran or C/C++.
To this end we have developed Pyccel, which translates Python code to either Fortran or C, and makes the generated code callable from Python. The generated Fortran or C code is not only fast, but also human-readable; hence it can easily be profiled and optimized for the target machine.
Pyccel has a focus on high-performance computing applications, where the efficient usage of the available hardware resources is fundamental.
To this end it provides type annotations, function decorators, and OpenMP pragmas.
Pyccel is easy to use, is almost completely written in Python, and compares favourably against other Python accelerators.
Process Address Space: The way to create virtual address (page table) of user...Adrian Huang
Process Address Space: The way to create virtual address (page table) of userspace application.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Node has captured the attention of early adopters by clearly differentiating itself as being asynchronous from the ground up while remaining accessible. Now that server side JavaScript is at the cutting edge of the asynchronous, real time web, it is in a much better position to establish itself as the go to language for also making synchronous, CRUD webapps and gain a stronger foothold on the server.
This talk covers the current state of server side JavaScript beyond Node. It introduces Common Node, a synchronous CommonJS compatibility layer using node-fibers which bridges the gap between the different platforms. We look into Common Node's internals, compare its performance to that of other implementations such as RingoJS and go through some ideal use cases.
Lecture slides that I used in Advanced Information Security Summer School (AIS3, 2016 & 2018) in Taiwan. https://ais3.org/
台湾の高度セキュリティ人材育成プログラム(AIS3, 2016/2018)の講義で利用した講義資料です。
Advance procedures in assembly are fully explained by me and my group mates.
Main topics are:
*Stack frames
-Recursion
-ADDR, INVOKE , LOCAL, PROC , PROTO directives and variables
-MultiModule Programs in assembly
LINCX is an OpenFlow switch written in Erlang and running on LING (Erlang on Xen). It shows some remarkable performance. The presentation discusses various speed-related optimizations.
Capturing NIC and Kernel TX and RX Timestamps for Packets in GoScyllaDB
Go gives us net.Dial and net.Listen for sending and receiving data at Layer 4. Now you will see how to send and receive raw packets directly to and from the NIC at Layer 1 to get timestamp information from timestamping-enabled NICs and when packets enter and leave the Linux kernel. Capturing these timestamps allows us to get better granularity when measuring latency and jitter instead of relying on time.Now() in userspace where that is subject to additional time introduced by the OS and Go runtime schedulers.
Imagine writing a pure Python library which can achieve the performance of Fortran or C/C++.
To this end we have developed Pyccel, which translates Python code to either Fortran or C, and makes the generated code callable from Python. The generated Fortran or C code is not only fast, but also human-readable; hence it can easily be profiled and optimized for the target machine.
Pyccel has a focus on high-performance computing applications, where the efficient usage of the available hardware resources is fundamental.
To this end it provides type annotations, function decorators, and OpenMP pragmas.
Pyccel is easy to use, is almost completely written in Python, and compares favourably against other Python accelerators.
Process Address Space: The way to create virtual address (page table) of user...Adrian Huang
Process Address Space: The way to create virtual address (page table) of userspace application.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Node has captured the attention of early adopters by clearly differentiating itself as being asynchronous from the ground up while remaining accessible. Now that server side JavaScript is at the cutting edge of the asynchronous, real time web, it is in a much better position to establish itself as the go to language for also making synchronous, CRUD webapps and gain a stronger foothold on the server.
This talk covers the current state of server side JavaScript beyond Node. It introduces Common Node, a synchronous CommonJS compatibility layer using node-fibers which bridges the gap between the different platforms. We look into Common Node's internals, compare its performance to that of other implementations such as RingoJS and go through some ideal use cases.
Lecture slides that I used in Advanced Information Security Summer School (AIS3, 2016 & 2018) in Taiwan. https://ais3.org/
台湾の高度セキュリティ人材育成プログラム(AIS3, 2016/2018)の講義で利用した講義資料です。
Advance procedures in assembly are fully explained by me and my group mates.
Main topics are:
*Stack frames
-Recursion
-ADDR, INVOKE , LOCAL, PROC , PROTO directives and variables
-MultiModule Programs in assembly
LINCX is an OpenFlow switch written in Erlang and running on LING (Erlang on Xen). It shows some remarkable performance. The presentation discusses various speed-related optimizations.
Similar to Threaded-Execution and CPS Provide Smooth Switching Between Execution Modes (20)
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
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Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
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By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
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However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
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Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
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3. Timing of Fibonacci
Thread CPS Object NativePharo JIT
169
278
347
1,094
559
186
304
391
1,918
591
136
332
564
2,010
695
Apple M1
Apple M2 Pro
Intel i7 2.8GHz
Threaded is 2.3-4.7 times faster than bytecode.
4. Zag Smalltalk
supports 2 models: threaded and native CPS
seamless transition
threaded is smaller and fully supports step-debugging
native is 3-5 times faster and can fallback to full debugging after a send
5. Threaded Execution
sequence of addresses of native code
like an extensible bytecode
each word passes control to the next
associated with Forth, originally in PDP-11 FORTRAN compiler, was used in BrouHaHa
9. Continuation Passing Style
continuation is the rest of the program
comes from optimization of functional languages (continuation was a closure)
no implicit stack frames - passed explicitly
like the original Smalltalk passing Context (maybe not obvious that Context is a special kind of closure)
14. Implementation Decisions
Context must contain not only native return points, but also threaded return points;
CompiledMethods must facilitate seamless switching between execution modes;
the stack cannot reasonably be woven into the hardware stack with function calls, so no native stack;
as well as parameters, locals, and working space, stack is used to allocate Context and BlockClosure as
usually released in LIFO pattern
15. Conclusions
with proper structures, can easily switch between threaded and native code
threaded code is “good enough” for many purposes
this is preliminary work, so some open questions
many experiments to run to validate my intuitions
many more details in the paper