Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.
Track: Modern CS in the Real World
Location: Pacific DEKJ
Day of week:
Track Host: Adam Wick
Adam Wick leads the systems software group at Galois, Inc., an R&D company in Portland, OR. Galois does research in formal methods, programming language development, operating systems, compiler engineering, and security. Dr. Wick has worked in a variety of fields at all level of the software stack, from hardware synthesis to web applications, but has recently focused on network and operating system security. Amongst his current jobs, he is also the maintainer of the Haskell Lightweight Virtual Machine and oversees Galois' projects using this technology. @acwpdx
Category Theory for the Working Hacker
The talk will explain why category theory is of interest for developers. The principle of Propositions as Types describes a correspondence between, on the one hand, propositions and proofs in logic, and, on the other, types and programs in computing. And, on the third hand, we have category theory! Assuming only high school maths, the talk will explain how categories model three basic data types: products (logical and), sums (logical or), and functions (logical implication). And it explains why you already learned the most important stuff in high school.
Abstractions to Help Developers Write Good Crypto
More developers are writing cryptographic code, especially in regulated sectors like health care and financial services, but the code suffers from a combination of poor programming interfaces and a lack of developer training. In one study, 83% of cryptographic flaws (CVEs) were due to programmer misuse of otherwise correct libraries. While solutions like LetsEncrypt have made HTTPS cheaper, encryption of data in transit only covers a small part of the problem space. End-to-end crypto is an important approach, and is getting more widespread, but can programmers implement it securely?
In this talk, we will discuss the impact of programming abstractions on the correctness of cryptographic code, and show why some cryptographic libraries succeed in helping the programmers Do The Right Thing, and why some fail.
Logic-Based Automated Reasoning
Developing efficient and scalable software analysis tools is a tedious and very difficult task. First, due to the undecidability of the verification problem, tools, must be highly tuned and engineered to provide reasonable efficiency and precision trade-offs. Second, different programming languages come with very diverse assortments of syntactic and semantic features. Third, the diverse encoding of the verification problem makes the integration with other powerful solvers and verifiers difficult. In this talk, I will present SeaHorn — an open source automated logic-based reasoning tool built on top of LLVM -- an industrial compiler infrastructure. SeaHorn combines traditional and advanced automated reasoning algorithms based on Satisfiability Modulo Theory (SMT) and Abstract Interpretation. SeaHorn is a versatile and highly customizable tool which allows developers to easily build or experiment with new verification techniques.
Real-Time Collaborative Editing with CRDTs
Real-time collaborative editing gives users the illusion that they are editing the same document, but in reality, each collaborator makes edits to their own local replica of the document to ensure a low-latency typing experience. Each user's local operations must then be transmitted to remote collaborators and integrated so that the contents of every replica remain equivalent and that the intentions behind each participant's edits are preserved. This challenge has been the focus of nearly three decades of ongoing research in the field of operational transformation, which has produced various algorithms with different trade-offs that are notoriously difficult to implement. In 2011, a new conceptual framework called conflict-free replicated data types (CRDTs) emerged to offer a significantly simpler approach to collaborative text editing and related distributed computing problems. In this talk, we'll explore a new library that draws from the latest CRDT research to enable real-time collaborative text editing in a fully distributed setting.
Programming the Network Data Plane
We all know how to program CPUs, making it easy to prototype new ideas, build new applications, and share them with others. Today it is commonplace to program not just CPUs, but almost any domain-specific processors, such as GPUs, DSPs, and even machine-learning accelerators (e.g., TPUs). Unfortunately networking has long been an exception to this trend; the network data plane -- packet processing -- has been dictated by fixed-function switching chips, which help up innovations in the fields of networking, computing, and storage all together.
But this is changing quickly. The new PISA (Protocol-Independent Switch Architecture) ASICs promise multi Tb/s of packet processing with uncompromised programmability. P4, a new domain-specific high-level language designed for networking, additionally allows network engineers and developers to program PISA chips and other types of programmable packet-processing devices (e.g., FPGAs, NPUs, and S/W switches) in a declarative and intuitive fashion. PISA and P4 will entirely change the way people design, build, and run not just their networks, but their distributed systems and applications as well.
In this talk, I’ll first explain what PISA and P4 are, how they work, what kinds of design principles they are built on, and why they are made possible now. I’ll also introduce a few killer applications of these technologies. Then I’ll characterize PISA as a “relentless I/O-event execution machine” and show how this characterization opens up possibilities for joint-engineering a network and the distributed applications running on the network. I’ll conclude my talk by introducing a few such exciting examples.
Last Year's Tracks
Monday, 1 November
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Microservices / Serverless Patterns & Practices
Evolving, observing, persisting, and building modern microservices
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Practices of DevOps & Lean Thinking
Practical approaches using DevOps & Lean Thinking
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JavaScript & Web Tech
Beyond JavaScript in the Browser. Exploring WebAssembly, Electron, & Modern Frameworks
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Modern CS in the Real World
Thoughts pushing software forward, including consensus, CRDT's, formal methods, & probabilistic programming
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Modern Operating Systems
Applied, practical, & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on Windows, LinuxKit, and Unikernels
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Optimizing You: Human Skills for Individuals
Better teams start with a better self. Learn practical skills for IC
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Open Spaces
Tuesday, 2 November
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Architectures You've Always Wondered About
Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more
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21st Century Languages
Lessons learned from languages like Rust, Go-lang, Swift, Kotlin, and more.
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Emerging Trends in Data Engineering
Showcasing DataEng tech and highlighting the strengths of each in real-world applications.
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Bare Knuckle Performance
Killing latency and getting the most out of your hardware
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Socially Conscious Software
Building socially responsible software that protects users privacy & safety
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Delivering on the Promise of Containers
Runtime containers, libraries, and services that power microservices
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Open Spaces
Wednesday, 3 November
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Applied AI & Machine Learning
Applied machine learning lessons for SWEs, including tech around TensorFlow, TPUs, Keras, PyTorch, & more
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Production Readiness: Building Resilient Systems
More than just building software, building deployable production ready software
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Developer Experience: Level up your Engineering Effectiveness
Improving the end to end developer experience - design, dev, test, deploy, operate/understand.
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Security: Lessons Attacking & Defending
Security from the defender's AND the attacker's point of view
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Future of Human Computer Interaction
IoT, voice, mobile: Interfaces pushing the boundary of what we consider to be the interface
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Enterprise Languages
Workhorse languages found in modern enterprises. Expect Java, .NET, & Node in this track