This paper appeared in OOPSLA 2011, pages 391-406. It addresses the issue of including area-particular language extensions, together with domain-specific syntax extensions, to an existing programming language by way of the usage of library modules. The paper presents PlanAlyzer, national university of singapore landscape a primary-of-its-form static analyzer for the domain particular language (DSL) PlanOut. The examine should even be fascinating for anyone managing giant software program initiatives and having to make language choices. The paper builds an executable abstract machine and compares runs of the summary machine with runs on Power hardware for a big suite of “litmus tests”. The line within the abstract “Having solely a binray equality take a look at on a kind requires Θ(n2) time to find all of the occurrences of an element in a list of size n, for every ingredient in the list” could confuse some. Additionally, the authors did a superb job of creating the summary machine as simple as possible, within the face of a massively difficult processor.
The evaluation is spectacular, with C and FPGA executions performing orders of magnitude sooner in comparison with the baseline code, though the authors say that their FPGA backend is not completely mature. The authors have a working prototype and have applied it to real software together with Apache, BIND, and OpenLDAP; it really works as advertised, with very tolerable efficiency overhead. Fine-grained profilers detect extra nuanced performance points, comparable to ineffective writes, poor cache behavior, or program important paths, but most have excessive overhead as a result of they require program instrumentation or require a lot of state, making them impractical for locating issues in deployment, where software program is exercised in hard to reproduce and unexpected methods. Unfortunately, their algorithms are typically expressed through circuits, making an environment friendly implementation more difficult than it must be. What is still lacking, although, is a semantics and meta-idea for such languages, or something to play the function the lambda calculus performs in underpinning programming language design and implementation. Catala is a brand new programming language designed to formalize statutory legislation into executable code. The strategies used include using a Turing-complete host language with a Turing-incomplete hosted language, static and dynamic kind checking, the QuickCheck property-based verification device, mannequin checking, and aiming for a verifying fairly than a verified compiler.
The compiler deals with necessary challenges: supporting network-extensive habits, abstracting concrete network topologies, and attaining high confidence in correctness. This permits these inquiries to be exactly answered, and eventually allows a compiler author to confidently and accurately conceal the architectural complexity. The paper supplies an essential step ahead in reasoning about applications that execute on unreliable hardware. Such values consequence from sensor readings, the use of approximate hardware, or dependence on a statistical reasoning software element reminiscent of machine learning. The translation proceeds in three nontrivial steps that use quite a lot of strategies together with a variant of binary determination diagrams, NetKAT automata, and a novel concept of fabric construction. This paper was well motivated (the instance in the introduction was very properly chosen for instance the pertinent points), properly written, and explained a set of intuitive techniques clearly. This paper is a great first step towards something that might really end in a major advance in shared memory parallel programming, whether it uses transactional reminiscence, or continues to be based mostly on locks. This paper presents a manifestly extraordinarily useful framework for detecting memory leaks in internet functions. This paper addresses the lengthy standing downside of appropriately parsing both of the two underlying languages that comprise what we know as C: C proper, and the C preprocessor.
This work is an impressive research of the scheduling problem presented by these architectures and will likely be of curiosity to PL and architecture folks alike. Understanding software performance while it runs in production remains an open drawback with implications on what we can compute at any given time scale and how we compute it. If an attacker can corrupt the state of a contract so that every one future calls run out of gas, then the funds it manages are completely misplaced. Inspection of the primary thirteen flagged contracts, with sixteen flagged vulnerabilities, showed that thirteen vulnerabilities had been real-so solely round 20% of flagged vulnerabilities are false positives. Although the mathematical equipment necessary for this work is extremely technical at instances, a lot of the presentation within the paper is given in an informal, pedagogic model primarily based on clean “visual” proof sketches. Published as Ur/Web: A Simple Model for Programming the web in June 2016 CACM Research Highlight, with Technical Perspective: Why Didn’t I Think of That? Published as Scalable Synchronous Queues in May 2009 CACM Research Highlight, with Technical Perspective: Highly Concurrent Data Structures by Maurice Herlihy.