GoLightly is a flexible library for building virtual machines in Go. Instead of a single general purpose VM it encourages the use of many small, specialised VMs working in concert.
An introduction into Googles programming language Go, which had its first release in March 2012. The talk has been held at the regulars' table of the GTUG Bremen.
Gor Nishanov, C++ Coroutines – a negative overhead abstractionSergey Platonov
C++ coroutines are one of the few major features that may land in C++17. We will look at the current standardization status, available experimental implementations and develop a small coroutine adapter over raw C networking APIs that will beat hand-crafted state machine in performance.
An introduction into Googles programming language Go, which had its first release in March 2012. The talk has been held at the regulars' table of the GTUG Bremen.
Gor Nishanov, C++ Coroutines – a negative overhead abstractionSergey Platonov
C++ coroutines are one of the few major features that may land in C++17. We will look at the current standardization status, available experimental implementations and develop a small coroutine adapter over raw C networking APIs that will beat hand-crafted state machine in performance.
4Developers 2018: The turbulent road to byte-addressable storage support at t...PROIDEA
The advent of new persistent memory technologies that are extremely fast and accessible at the CPU level is an opportunity to rethink many of the assumptions that were made during the design of storage interfaces in programming languages and supporting libraries. Many of the currently employed solutions will need to be designed from scratch with the new paradigms in mind to achieve full benefit of using this type of memory. But radical changes are never easy, and this one is no exception. Many researchers and industry experts have been working on this topic for a long time, and here's what they came up with. This lecture will introduce the broader aspects of persistent memory and what is currently being done to enable existing operating systems and programming languages to support this new type of technology. It will focus on C++ related activities and discuss the standardization efforts currently planned for full native language support.
Implementing Software Machines in Go and CEleanor McHugh
Early draft of a tutorial on techniques for implementing virtual machines and language interpreters. Contains example programs for functional stacks and despatch loops.
Declarative Type System Specification with StatixEelco Visser
In this talk I present the design of Statix, a new constraint-based language for the executable specification of type systems. Statix specifications consist of predicates that define the well-formedness of language constructs in terms of built-in and user-defined constraints. Statix has a declarative semantics that defines whether a model satisfies a constraint. The operational semantics of Statix is defined as a sound constraint solving algorithm that searches for a solution for a constraint. The aim of the design is that Statix users can ignore the execution order of constraint solving and think in terms of the declarative semantics.
A distinctive feature of Statix is its use of scope graphs, a language parametric framework for the representation and querying of the name binding facts in programs. Since types depend on name resolution and name resolution may depend on types, it is typically not possible to construct the entire scope graph of a program before type constraint resolution. In (algorithmic) type system specifications this leads to explicit staging of the construction and querying of the type environment (class table, symbol table). Statix automatically stages the construction of the scope graph of a program such that queries are never executed when their answers may be affected by future scope graph extension. In the talk, I will explain the design of Statix by means of examples.
https://eelcovisser.org/post/309/declarative-type-system-specification-with-statix
The first cut of a talk on the R&D process in software development, including taking an invention to patent.
Includes two sets of code examples. One is Forth implemented in a 1980s dialect of Basic.
The other introduces evolutionary prototyping using a hybrid ruby/bash methodology.
Generics, Reflection, and Efficient CollectionsEleanor McHugh
This is a talk about how we structure and collate information so as to effectively process it, the language tools Go provides to help us do this, and the sometimes frustrating tradeoffs we must make when marry the real world with the digital.
We'll start by looking at basic collection types in Go: array, slice, map, and channel. These will then be used as the basis for our own user defined types with methods for processing the collected items.
These methods will then be expanded to take functions as parameters (the higher order functional style popularised by languages such as Ruby) and by using Go's Reflection package we will generalise them for a variety of tasks and uses cases.
Reflection adds an interpreted element to our programs with a resulting performance cost. Careful design can often minimise this cost and it may well amortise to zero on a sufficiently large collection however there is always greater code complexity to manage. When the data to be contained in a user defined collection is homogenous we can reduce much of this complexity by using Generics and our next set of examples will demonstrate this.
At the end of this talk you should have some useful ideas for designing your own collection types in Go as well as a reasonable base from which to explore Reflection, Generics, and the Higher-Order Functional style of programming.
Go for the paranoid network programmer, 3rd editionEleanor McHugh
Draft third edition of my #golang network programming and cryptography talk given to the Belfast Gophers Meetup. Now with an introduction to websockets.
An introduction to functional programming with goEleanor McHugh
A crash course in functional programming concepts using Go. Heavy on code, light on theory.
You can find the examples at https://github.com/feyeleanor/intro_to_fp_in_go
Implementing virtual machines in go & c 2018 reduxEleanor McHugh
An updated version of my talk on virtual machine cores comparing techniques in C and Go for implementing dispatch loops, stacks & hash maps.
Lots of tested and debugged code is provided as well as references to some useful/interesting books.
Digital Identity talk from Strange Loop 2018 and Build Stuff Lithuania 2018 including walkthrough of the uPass system and the design principles behind it.
Don't Ask, Don't Tell - The Virtues of Privacy By DesignEleanor McHugh
This is a fairly technical overview of the considerations involved in architecting software systems to support privacy. Rather than focus on what the law demands - something which can change across time and jurisdictions - it looks at the real problems we need to solve to know as little about the users of computer systems as possible whilst achieving their needs.
Don't ask, don't tell the virtues of privacy by designEleanor McHugh
A very light intro talk on privacy, identity, and designing with the latter to preserve the former.
Probably makes no sense at all without the audio so if it whet's your appetite dig through my other decks on these topics. Most of those have code in for the more technically minded.
An overview of the uPass digital identity system. Covers the core problem domain and the end-to-end stack from liveness to black-box transaction store. Lots of diagrams, references to all the relevant patent applications and so forth.
An introduction to Go from basics to web through the lens of "Hello World", extracted from the Book "A Go Developer's Notebook" available from http://leanpub.com/GoNotebook
Finding a useful outlet for my many Adventures in goEleanor McHugh
A talk about my Leanpub-published living eBook: A Go Developer's Notebook. Buy my book? Write your own Book using Leanpub? Learn you some Golang for fun?
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
3. a new language
statically-typed and compiled
object-oriented but no classes
garbage collected
concurrency via communication (CSP)
type polymorphism via interfaces
4. a new way of working
the safety of a static type system
the feel of a dynamic runtime
the performance of a compiled language
14. bytecode
type ByteCode []int case 5: / JMPZ n
/ case 10: / POP r
/
func (b *ByteCode) String() string { PC++ PC++
return "BYTECODE" if C == 0 { R[b[PC]] = DS.Pop()
} PC++ case 11: / LOAD r, v
/
func (b *ByteCode) Execute(p Processor) { PC += b[PC] - 1 PC++
var PC, C, W int } else { W = b[PC]
var R [2]int PC++ PC++
CS := new(vector.IntVector) } R[W] = b[PC]
DS := new(vector.IntVector) case 6: / JMPNZ n
/ case 12: / ADD r1, r2
/
for p.Active() { PC++ PC++
switch b[PC] { if C != 0 { W = b[PC]
case 0: / NOOP
/ PC++ PC++
case 1: / NSLEEP n
/ PC += b[PC] - 1 R[b[PC]] += R[W]
PC++ } else { default:
p.Sleep(int64(b[PC])) PC++ p.Halt(ILLEGAL_INSTRUCTION)
case 2: / SLEEP n
/ } }
PC++ case 7: / CALL n
/ }
p.Sleep(int64(b[PC]) << 32) PC++ }
case 3: / HALT
/ CS.Push(PC)
p.Halt(USER_HALT) PC = b[PC]
return case 8: / RET
/
case 4: / JMP n
/ PC = CS.Pop
PC++ case 9: / PUSH r
/
PC += b[PC] - 1 PC++
DS.Push(R[b[PC]])
16. a scalar processor
type SProc struct { func (s *SProc) Sleep(i int64) { func (s *SProc) Call(a Address){
Running bool syscall.Sleep(i) PC := s.PC
PC int } s.PC = int(a)
R IntBuffer for s.IsActive() {
F FloatBuffer func (s *SProc) Halt(n int) { s.Execute()
DS vector.IntVector s.Running = false s.Step()
Program []Executable } }
} s.PC = PC
func (s *SProc) IsActive() bool{ }
func (s *SProc) Run() { return s.Running && s.PC <
s.Running = true len(s.Program) func (s *SProc) Return() {
s.Call(0) } s.PC = len(s.Program)
} }
func (s *SProc) Reset() {
func (s *SProc) Step() { s.R.ClearAll()
s.PC++ s.PC = 0
} }
func (s *SProc) Jump(a Address) { func (s *SProc) Load(program
s.PC += int(a) Program) {
} s.Reset()
s.Program = program
func (s *SProc) Execute() { }
s.Program[s.PC].Execute(s)
}
17. memory
based on allocated Values
aggregate as ValueStores
require boxing/unboxing
buffers for specific types
buffers are also ValueStores
18. benefits
encourages simple designs
many different VMs per executable
can run in separate goroutines
easily duplicated and serialised
split across processes or hosts
19. the future
single dispatch for vector operations
per vasive threading
runtime code rewriting
speculative loading
JIT compilation