This document discusses moving from C to Go and compares various aspects of memory allocation between the two languages. It covers how arrays are values in Go rather than pointers, stack allocation versus heap allocation, and Go's garbage collector. It also provides an overview of the Go toolchain including supported architectures and compares performance of GCCGO versus the standard Go compiler. Finally, it explains Go's M:N user-space scheduler model and how goroutines are scheduled across logical processors.
This talk cover various advanced topics in the area of backups:
- incremental backups;
- archive management;
- backup validation;
- retention policies;
etc.
Based on these features, we'll compare various backup/recovery solutions for PostgreSQL.
This information will help you to choose the most appropriate tool for your system.
Performance evaluation with Arm HPC tools for SVELinaro
by: Performance evaluation with Arm HPC tools for SVE Miwako Tsuji (RIKEN), Yuetsu Kodama (RIKEN)
The "co-design" is a bi-directional approach where a system would be designed on demand from applications and the applications must be optimized to the system. The performance estimation and evaluation of applications are important for the co-design. In this talk, we focus on the performance evaluation with Arm HPC tools for SVE.
Miwako Tsuji received master and PhD degrees from Information Science and Technology, Hokkaido University. From 2007 to 2013, she was working in University of Hokkaido, University of Tokyo, University of Tsukuba and Universite de Versailles Saint-Quentin-en-Yvelines. She is a research scientist at RIKEN Advanced Institute for Computational Science since 2013. She is a member of the architecture development team of the flagship 2020 project, i.e. post-K computer project, since the project was started in 2014. She is a coauthor of ACM Gordon Bell Prize in 2011.
In the Container world, there is a need to build observability around apps and backing services running in containers. The observability should allow to capture on demand low level metrics at a low overhead. The proposal is to use ebpf as the tracing technology to capture details at kernel & user level, and generate on demand flamegraphs, heat maps for applications & backing services. The Linux kernel has a built-in BPF JIT compiler, and an in-kernel verifier which is used to validate eBPF programs. This allows user defined instrumentation on a live kernel image that can never crash, hang or interfere with the kernel negatively. eBPF provides in-kernel implementation of storage maps such as histograms and hash-maps, which helps in efficient copy of summarized monitoring data from kernel to user space with low overhead.
These features make eBPF programs safe to run in production and allow admins and engineers to collect crucial data from systems for performance analysis and monitoring.
eBPF is an exciting new technology that is poised to transform Linux performance engineering. eBPF enables users to dynamically and programatically trace any kernel or user space code path, safely and efficiently. However, understanding eBPF is not so simple. The goal of this talk is to give audiences a fundamental understanding of eBPF, how it interconnects existing Linux tracing technologies, and provides a powerful aplatform to solve any Linux performance problem.
This talk cover various advanced topics in the area of backups:
- incremental backups;
- archive management;
- backup validation;
- retention policies;
etc.
Based on these features, we'll compare various backup/recovery solutions for PostgreSQL.
This information will help you to choose the most appropriate tool for your system.
Performance evaluation with Arm HPC tools for SVELinaro
by: Performance evaluation with Arm HPC tools for SVE Miwako Tsuji (RIKEN), Yuetsu Kodama (RIKEN)
The "co-design" is a bi-directional approach where a system would be designed on demand from applications and the applications must be optimized to the system. The performance estimation and evaluation of applications are important for the co-design. In this talk, we focus on the performance evaluation with Arm HPC tools for SVE.
Miwako Tsuji received master and PhD degrees from Information Science and Technology, Hokkaido University. From 2007 to 2013, she was working in University of Hokkaido, University of Tokyo, University of Tsukuba and Universite de Versailles Saint-Quentin-en-Yvelines. She is a research scientist at RIKEN Advanced Institute for Computational Science since 2013. She is a member of the architecture development team of the flagship 2020 project, i.e. post-K computer project, since the project was started in 2014. She is a coauthor of ACM Gordon Bell Prize in 2011.
In the Container world, there is a need to build observability around apps and backing services running in containers. The observability should allow to capture on demand low level metrics at a low overhead. The proposal is to use ebpf as the tracing technology to capture details at kernel & user level, and generate on demand flamegraphs, heat maps for applications & backing services. The Linux kernel has a built-in BPF JIT compiler, and an in-kernel verifier which is used to validate eBPF programs. This allows user defined instrumentation on a live kernel image that can never crash, hang or interfere with the kernel negatively. eBPF provides in-kernel implementation of storage maps such as histograms and hash-maps, which helps in efficient copy of summarized monitoring data from kernel to user space with low overhead.
These features make eBPF programs safe to run in production and allow admins and engineers to collect crucial data from systems for performance analysis and monitoring.
eBPF is an exciting new technology that is poised to transform Linux performance engineering. eBPF enables users to dynamically and programatically trace any kernel or user space code path, safely and efficiently. However, understanding eBPF is not so simple. The goal of this talk is to give audiences a fundamental understanding of eBPF, how it interconnects existing Linux tracing technologies, and provides a powerful aplatform to solve any Linux performance problem.
Customize and Secure the Runtime and Dependencies of Your Procedural Language...VMware Tanzu
Customize and Secure the Runtime and Dependencies of Your Procedural Languages Using PL/Container
Greenplum Summit at PostgresConf US 2018
Hubert Zhang and Jack Wu
Streams are a fundamental programming primitive for representing the flow of data through your system. It's time we brought this powerful tool to the web. What if we could stream data from a HTTP request, through a web worker that transforms it, and then into a <video> tag? Over the last year, I've been working on the WHATWG streams specification, which builds upon the lessons learned in Node.js, to provide a suitable abstraction for needs of the extensible web.
I'll discuss briefly why streams are important, what they enable, and the role we envision them playing in the future of the web platform. Mostly, though, I want to help you understand streams, at a deep level. In the course of writing this specification, I've learned a lot about streams, and I want to share that knowledge with you. At the core, they are a very simple and beautiful abstraction. I think we've done a good job capturing that abstraction, and producing an API the web can be proud of. I'd love to tell you all about it.
Next Generation Indexes For Big Data Engineering (ODSC East 2018)Daniel Lemire
Maximizing performance in data engineering is a daunting challenge. We present some of our work on designing faster indexes, with a particular emphasis on compressed indexes. Some of our prior work includes (1) Roaring indexes which are part of multiple big-data systems such as Spark, Hive, Druid, Atlas, Pinot, Kylin, (2) EWAH indexes are part of Git (GitHub) and included in major Linux distributions.
We will present ongoing and future work on how we can process data faster while supporting the diverse systems found in the cloud (with upcoming ARM processors) and under multiple programming languages (e.g., Java, C++, Go, Python). We seek to minimize shared resources (e.g., RAM) while exploiting algorithms designed for the single-instruction-multiple-data (SIMD) instructions available on commodity processors. Our end goal is to process billions of records per second per core.
The talk will be aimed at programmers who want to better understand the performance characteristics of current big-data systems as well as their evolution. The following specific topics will be addressed:
1. The various types of indexes and their performance characteristics and trade-offs: hashing, sorted arrays, bitsets and so forth.
2. Index and table compression techniques: binary packing, patched coding, dictionary coding, frame-of-reference.
Developing High Performance Application with Aerospike & GoChris Stivers
In this presentation, Chris Stivers, introduces the audience to Aerospike and provides tips on improving performance of Application written in Go. Tips include how to use memory more effectively in Go, and using Aerospike for high throughput / low latency transactions.
Digital RSE: automated code quality checks - RSE group meetingHenry Schreiner
Given at a local RSE group meeting. Covers code quality practices, focusing on Python but over multiple languages, with useful tools highlighted throughout.
University of Virginia
cs4414: Operating Systems
http://rust-class.org
Scheduling in Linux, 2002-2014
Energy and Scheduling
OSX Mavericks Timer Coalescing
Scheduling Web Servers
Healthcare.gov
For embedded notes, see: http://rust-class.org/class-12-scheduling-in-linux-and-web-servers.html
"If we were able to take a microscope and observe how our programs work on the lowest level, we would be surprised and shocked. Close to the wire, programs behave very differently from what we expect.
In this session we will go through code examples that show the counter-intuitive behavior of Java on the microscopic scale. We will take a detailed look at how the underlying technology works that causes the surprising behavior and how we can measure our programs on the lowest level. Topics covered will be the cache hierarchy, false sharing, pipelining, branch prediction, and out-of-order execution.
After this talk you will have a good understanding of how modern CPUs work and how this can affect the performance of your programs."
go-git is a 100% Go libray used to interact with git repositories. Even if it already supports most of the functionality it still lags a bit in performance when compared with the git CLI or some other libraries. I'll explain some of the problems that we face when dealing with git repos and some examples of performance improvements done to the library.
Current MVCC model of PostgreSQL relies on snapshots which contain enumeration of transactions which are currently running. This solution served very well when it was invented. That time, typical server could have 2 or 4 sockets with single-core processors at maximum.
Much time has elapsed since then. Nowadays, you can't surprise anyone with 72-cores machine. And we have really reached the limitation of our snapshot representation. Consistent snapshot taking require shared ProcArrayLock. On heavily loaded system, contention for ProcArrayLock is very high. Even group commit optimization in 9.6 doesn't remove this problem.
The possible solution is switching to commit sequence numbers (CSNs). When using CSN one can easily determine which of them commits earlier just by comparing their CSNs. This approach completely removes contention for ProcArrayLock during taking snapshots. However, another problem arises: we need really fast XID => CSN map. Slow map in this place can completely nullify advantages of CSN approach.
In this talk I'll present a patch with elegant solution of XID => CSN map problem. Idea is to minimize usage of this map the same way we minimize clog accesses. While setting hint bits we can rewrite XIDs with CSNs. That arises set of technical problems but all of them appears to be solvable.
Go: Why it goes
by Serhii Pichkurov
In this talk Serhii will talk about Go, also known as Golang – an open source language developed at Google and used in production by companies such as Docker, Dropbox, Facebook and Google itself. Go is now heavily used as a general-purpose programming language that’s a pleasure to use and maintain. This introductory talk contains many live demos of basic language concepts, concurrency model, simple HTTP-based endpoint implementation and, of course, tests using build-in framework. This presentation will be interesting for backend engineers and DevOps to understand why Go had become so popular and how it might help to build robust and maintainable services.
Join this session after which you can start coding using language that has static safe compiler, GC and is as fast as C++ or Java, with even simpler syntax than Python!
Customize and Secure the Runtime and Dependencies of Your Procedural Language...VMware Tanzu
Customize and Secure the Runtime and Dependencies of Your Procedural Languages Using PL/Container
Greenplum Summit at PostgresConf US 2018
Hubert Zhang and Jack Wu
Streams are a fundamental programming primitive for representing the flow of data through your system. It's time we brought this powerful tool to the web. What if we could stream data from a HTTP request, through a web worker that transforms it, and then into a <video> tag? Over the last year, I've been working on the WHATWG streams specification, which builds upon the lessons learned in Node.js, to provide a suitable abstraction for needs of the extensible web.
I'll discuss briefly why streams are important, what they enable, and the role we envision them playing in the future of the web platform. Mostly, though, I want to help you understand streams, at a deep level. In the course of writing this specification, I've learned a lot about streams, and I want to share that knowledge with you. At the core, they are a very simple and beautiful abstraction. I think we've done a good job capturing that abstraction, and producing an API the web can be proud of. I'd love to tell you all about it.
Next Generation Indexes For Big Data Engineering (ODSC East 2018)Daniel Lemire
Maximizing performance in data engineering is a daunting challenge. We present some of our work on designing faster indexes, with a particular emphasis on compressed indexes. Some of our prior work includes (1) Roaring indexes which are part of multiple big-data systems such as Spark, Hive, Druid, Atlas, Pinot, Kylin, (2) EWAH indexes are part of Git (GitHub) and included in major Linux distributions.
We will present ongoing and future work on how we can process data faster while supporting the diverse systems found in the cloud (with upcoming ARM processors) and under multiple programming languages (e.g., Java, C++, Go, Python). We seek to minimize shared resources (e.g., RAM) while exploiting algorithms designed for the single-instruction-multiple-data (SIMD) instructions available on commodity processors. Our end goal is to process billions of records per second per core.
The talk will be aimed at programmers who want to better understand the performance characteristics of current big-data systems as well as their evolution. The following specific topics will be addressed:
1. The various types of indexes and their performance characteristics and trade-offs: hashing, sorted arrays, bitsets and so forth.
2. Index and table compression techniques: binary packing, patched coding, dictionary coding, frame-of-reference.
Developing High Performance Application with Aerospike & GoChris Stivers
In this presentation, Chris Stivers, introduces the audience to Aerospike and provides tips on improving performance of Application written in Go. Tips include how to use memory more effectively in Go, and using Aerospike for high throughput / low latency transactions.
Digital RSE: automated code quality checks - RSE group meetingHenry Schreiner
Given at a local RSE group meeting. Covers code quality practices, focusing on Python but over multiple languages, with useful tools highlighted throughout.
University of Virginia
cs4414: Operating Systems
http://rust-class.org
Scheduling in Linux, 2002-2014
Energy and Scheduling
OSX Mavericks Timer Coalescing
Scheduling Web Servers
Healthcare.gov
For embedded notes, see: http://rust-class.org/class-12-scheduling-in-linux-and-web-servers.html
"If we were able to take a microscope and observe how our programs work on the lowest level, we would be surprised and shocked. Close to the wire, programs behave very differently from what we expect.
In this session we will go through code examples that show the counter-intuitive behavior of Java on the microscopic scale. We will take a detailed look at how the underlying technology works that causes the surprising behavior and how we can measure our programs on the lowest level. Topics covered will be the cache hierarchy, false sharing, pipelining, branch prediction, and out-of-order execution.
After this talk you will have a good understanding of how modern CPUs work and how this can affect the performance of your programs."
go-git is a 100% Go libray used to interact with git repositories. Even if it already supports most of the functionality it still lags a bit in performance when compared with the git CLI or some other libraries. I'll explain some of the problems that we face when dealing with git repos and some examples of performance improvements done to the library.
Current MVCC model of PostgreSQL relies on snapshots which contain enumeration of transactions which are currently running. This solution served very well when it was invented. That time, typical server could have 2 or 4 sockets with single-core processors at maximum.
Much time has elapsed since then. Nowadays, you can't surprise anyone with 72-cores machine. And we have really reached the limitation of our snapshot representation. Consistent snapshot taking require shared ProcArrayLock. On heavily loaded system, contention for ProcArrayLock is very high. Even group commit optimization in 9.6 doesn't remove this problem.
The possible solution is switching to commit sequence numbers (CSNs). When using CSN one can easily determine which of them commits earlier just by comparing their CSNs. This approach completely removes contention for ProcArrayLock during taking snapshots. However, another problem arises: we need really fast XID => CSN map. Slow map in this place can completely nullify advantages of CSN approach.
In this talk I'll present a patch with elegant solution of XID => CSN map problem. Idea is to minimize usage of this map the same way we minimize clog accesses. While setting hint bits we can rewrite XIDs with CSNs. That arises set of technical problems but all of them appears to be solvable.
Go: Why it goes
by Serhii Pichkurov
In this talk Serhii will talk about Go, also known as Golang – an open source language developed at Google and used in production by companies such as Docker, Dropbox, Facebook and Google itself. Go is now heavily used as a general-purpose programming language that’s a pleasure to use and maintain. This introductory talk contains many live demos of basic language concepts, concurrency model, simple HTTP-based endpoint implementation and, of course, tests using build-in framework. This presentation will be interesting for backend engineers and DevOps to understand why Go had become so popular and how it might help to build robust and maintainable services.
Join this session after which you can start coding using language that has static safe compiler, GC and is as fast as C++ or Java, with even simpler syntax than Python!
The migration and reengineering of existing variants into a software product line (SPL) is an error-prone and time-consuming activity. Many extractive approaches have been proposed, spanning different activities from feature identification and naming to the synthesis of reusable artefacts. In this paper, we explore how large language model (LLM)-based assistants can support domain analysts and developers. We revisit four illustrative cases of the literature where the challenge is to migrate variants written in different formalism (UML class diagrams, Java, GraphML, statecharts). We systematically report on our experience with ChatGPT-4, describing our strategy to prompt LLMs and documenting positive aspects but also failures. We compare the use of LLMs with state-of-the-art approach, BUT4Reuse. While LLMs offer potential in assisting domain analysts and developers in transitioning software variants into SPLs, their intrinsic stochastic nature and restricted ability to manage large variants or complex structures necessitate a semiautomatic approach, complete with careful review, to counteract inaccuracies.
Keynote (Mike Muller) - Is There Anything New in Heterogeneous Computing - by...AMD Developer Central
Keynote presentation, Is There Anything New in Heterogeneous Computing, by Mike Muller, Chief Technology Officer, ARM, at the AMD Developer Summit (APU13), Nov. 11-13, 2013.
The Hitchhiker's Guide to Faster Builds. Viktor Kirilov. CoreHard Spring 2019corehard_by
C++ is known for things such as performance, expressiveness, the lack of a standard build system and package management, complexity and long compile times. The inability to iterate quickly is one of the biggest killers of productivity. This talk is aimed at anyone interested in improving the last of these points - it will provide insights into why compilation (and linking) take so long for C++ and will then provide an exhaustive list of techniques and tools to mitigate the problem, such as: - tooling and infrastructure - hardware, build systems, caching, distributed builds, diagnostics of bottlenecks, code hygiene - techniques - unity builds, precompiled headers, linking (static vs shared libraries) - source code modification - the PIMPL idiom, better template use, annotations - modules - what they are, when they are coming to C++ and what becomes obsolete because of them
I just made a change to the database schema, but now the team needs it for my feature to work. How can I keep track of my database changes and communicate them to the rest of the team? Migrations give a structured way to structurally alter your database structure as your application evolves . . . structurally. They also provide a way for everyone on the team: developers, testers, CI admins, DBAs, etc, to apply the latest changes wherever they are needed - with uniformity and low friction. Fluent Migrations for .NET provide a discoverable, human readable API that supports dozens of different databases (including SQL Server, PostgreSQL, Oracle). Topics covered in this session:
* Why you should use migrations
* How to write fluent migrations
* A look behind the scenes of how fluent migrations work
* Drawbacks/downsides to using migrations
* Other migration options for EF and NoSQL (Couchbase)
Ad hoc SQL scripts make you want to flip a desk? Keep your team on the same page with fluent migrations.
(This session will briefly mention EF Migrations, but is not primarily about EF).
Virtual Flink Forward 2020: A deep dive into Flink SQL - Jark WuFlink Forward
During last two major versions (1.9 & 1.10), Apache Flink community spent lots of effort to improve the architecture for further unified batch & streaming processing. One example for that is Flink SQL added the ability to support multiple SQL planners under the same API. This talk will first discuss the motivation behind these movements, but more importantly will have a deep dive into Flink SQL. The presentation shows the unified architecture to handle streaming and batch queries and explain how Flink translates queries into the relational expressions, leverages Apache Calcite to optimize them, and generates efficient runtime code for execution. Besides, this talk will also describe the lifetime of a query in detail, how optimizer improve the plan based on relational node patterns, how Flink leverages binary data format for its basic data structure, and how does certain operator works. This would give audience better understanding of Flink SQL internals.
Pragmatic Optimization in Modern Programming - Ordering Optimization ApproachesMarina Kolpakova
The slides give an idea about how to look pragmatically at software optimization and order optimization approaches according to this pragmatic point of view
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
7. Move From C to Go
The Goals of Go
7
Go was designed by and for people who write—and read and debug and
maintain—large software systems.
ELIMINATE
SLOWNESS
ELIMINATE
CLUMSINESS
IMPROVE
EFFECTIVENESS
IMPROVE
SCALE
8. Move From C to Go
The Future of Go
8
Image is from GMOM- Go Slide Template - 10th Birthday
10. Move From C to Go
Memory Allocation
10
void numbers()
{
int numbers[50];
}
void numbers()
{
int *numbers = malloc(sizeof(int) * 50);
}
Memory allocation in C.
Stack
Heap
11. Move From C to Go
Memory Allocation
11
func Numbers() {
var numbers [50]int
}
Memory allocation in Go.
Stack
func GetNumbers() [50]int {
var numbers [50]int
return numbers
}
func main() {
n := GetNumbers()
}
Stack
Stack
GetNumbers stack frame
Main stack frame
12. Move From C to Go
Memory Allocation
12
Go's arrays are values.
An array variable denotes the entire array.
It is not a pointer to the first array element like C.
Read More: Go Slices: usage and internals
13. Move From C to Go
Memory Allocation
13
func GetNumbers() {
numbers := new([50]int)
}
Memory allocation in Go.
Stack
new(T) allocates zeroed storage for a new item of type T and returns its address, a value
of type *T.
The variable may not be allocated in heap like C/C++.
Read More: Effective Go - Allocation with New
14. Move From C to Go
Memory Allocation
14
func GetNumbers() *[50]int {
numbers := new([50]int)
return numbers
}
func main() {
n := GetNumbers()
n[0] = 1
}
Memory allocation in Go.
Heap
15. Move From C to Go
Memory Allocation
15
How do I know whether a variable is allocated on the heap or the stack?
In the current compilers, if a variable has its address taken, that variable is a candidate
for allocation on the heap. However, a basic escape analysis recognizes some cases
when such variables will not live past the return from the function and can reside on the
stack.
From Frequently Asked Questions (FAQ)
Read More: Escape-Analysis Flaws
16. Move From C to Go
Memory Allocation
16
1. Do we need to change the underlying value?
2. Should the value be nil?
The basic rules of passing by pointers or values
Read More: Allocation efficiency in high-performance Go services
17. Move From C to Go
Memory Allocation
17
func GetNumbers() [50]int {
var numbers [50]int
return numbers
}
func main() {
n := GetNumbers()
}
Stack
Stack
The address is not in the system stack
18. Move From C to Go
Memory Allocation
18
Memory allocator in Go (A branch of TCMalloc).
19. Move From C to Go
Memory Allocation
19
Memory allocator in Go.
User space thread
20. Move From C to Go
Memory Allocation
20
Memory allocator in Go.
User space thread
21. Move From C to Go
Memory Allocation
21
To prevent the fragmentation problem on 32-bit platform, Go will make a large initial
reservation of virtual memory (~258MB).
Note
Read More:
1. A visual guide to Go Memory Allocator from scratch
2. Go’s Memory Allocator - Overview
22. Move From C to Go
Memory Allocation
22
1. Use local variables (copy by value)
2. For large cache libraries, they use mmap (or some tricky ways) to avoid the GC
scan. (e.g. bigCache library).
The practices to reduce the stress of Garbage Collection
Read More: Writing a very fast cache service with millions of entries in Go
23. Move From C to Go
Memory Allocation
23
More about the goroutine stack
resizeable goroutine stack (continuous stack)
Read More: Contiguous stacks in Go
Question: How can we copy the stack to a new one without losing pointers?
25. Move From C to Go
Go Toolchain
25
Support five major architectures
1. x86
2. ARM
3. PowerPC
4. MIPS
5. IBM
6. WebAssembly
- GC (Go compiler. Generate an object file for the Go linker)
- Go Linker
26. Move From C to Go
Go Toolchain
26
gccgo: the front-end of gcc compiler
- support most of gcc compiler options.
An alternative compiler
Front-end
GCCGO
Mid-end
GCC
Back-end
GCC
Analyzing the source code to
build an internal representation
of the program.
performs optimizations on the
intermediate representation.
Responsible for the CPU
a r c h i t e c t u r e s p e c i fi c
optimizations and for code
generation.
27. Move From C to Go
Go Toolchain
27
Performance Comparison
GCCGO still yielding (much) slower code than the standard compiler.
(GCCGO in 2019 https://meltware.com/2019/01/16/gccgo-benchmarks-2019.html)
Why use GCCGO?
Brief overview of gccgo, "the other" Go compiler
28. Move From C to Go
Go Toolchain
28
More about Go linker
This approach is different from the less conventional gc compiler, which does
significant code generation work at link time.
The Go runtime needs to know where all the pointers are in the data and bss
segments, and a standard linker won't put that information together for you. The
Go linker does that. The Go linker also writes out runtime information for
unwinding stacks during GC and translating program counters to file:line for use
in stack dumps. Again, this is all much easier to do with a toolchain that we control
entirely than having to build into existing ones.
Building a better Go linker (2019/09)
(https://docs.google.com/document/d/1D13QhciikbdLtaI67U6Ble5d_1nsI4befEd6_k1z91U/mobilebasic)
30. Move From C to Go
User-Space Scheduler in Go
30
Thread Models
- NPTL C Library
1:1 (kernel-level threading)
- Go
M:N scheduling
M
P
(processor)
G2
G3
G4
Local Runnable
Queue
Kernel Thread
G1
Execute
31. Move From C to Go
User-Space Scheduler in Go
31
M
P
(processor)
G2
G3
G4
Local Runnable
Queue
Execute
31
Context Switch
semtable
G1
Sleep
Wake up
- Generally, there is no system call
being invoked during rescheduling
- Data Locality for Processor
32. Move From C to Go
User-Space Scheduler in Go
32
M
P1
(processor)
G1
Execute
32
Create a New Goroutine
G2
Local Runnable
Queue
(1) Add a new goroutine to LRQ
Global Queue
(2) Move half of tasks from a local queue to the global
runnable queue if the local queue full.
M
P2
(processor)
Steal
Grab
33. Move From C to Go
User-Space Scheduler in Go
Note
- The current implementation of the Go scheduler is not a preemptive scheduler
but a cooperating scheduler.
(go 1.14 may release non-cooperative goroutine preemption)
- The scheduler needs well-defined user space events that happen at safe points
in the code to make scheduling decisions.