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检索条件"任意字段=37th ACM SIGPLAN Conference on Programming Language Design and Implementation"

共 319 条记录，以下是11-20 订阅

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SOAP 2022 - Proceedings of the 11th acm sigplan International Workshop on the State Of the Art in Program Analysis, co-located with PLDI 2022

SOAP 2022 - Proceedings of the 11th ACM SIGPLAN Internationa...

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11th acm sigplan International Workshop on the State Of the Art in Program Analysis, SOAP 2022, co-located with the 43rd acm sigplan International conference on programming language design and implementation, PLDI 2022

ISBN: (纸本)9781450392747

the proceedings contain 7 papers. the topics discussed include: BinFPE: accurate floating-point exception detection for GPU applications;modeling code manipulation in JIT compilers;statically detecting data leakages in data science code;ensuring determinism in blockchain software with GoLiSA: an industrial experience report;ADA: a tool for visualizing the architectural overview of open-source repositories;abstract interpretation of Michelson smart-contracts;and towards an implementation of differential dynamic logic in PVS.

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Towards an implementation of differential dynamic logic in PVS 11

Towards an implementation of differential dynamic logic in P...

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作者： Slagel, J. Tanner Muñoz, César Balachandran, Swee Moscato, Mariano Dutle, Aaron Masci, Paolo White, Lauren Nasa Langley Research Center United States National Institute of Aerospace United States

ISBN: (纸本)9781450392747

this paper describes an ongoing effort to embed and verify differential dynamic logic (dL) in the Prototype Verification System (PVS). dL is a logic for specifying and formally reasoning about hybrid systems, i.e., systems that employ both continuous and discrete dynamics. there are several benefits of this effort. First, the embedding of dL in PVS offers an independent formal verification of the semantics and inference rules of dL. Second, the embedding is fully operational within PVS, giving PVS practitioners the ability to use dL in the formal specification and verification of hybrid systems. third, the rich specification language, type system, and powerful interactive prover of PVS can be used on dL objects. In addition to the embedding and verification of dL, a custom extension for Visual Studio Code has been developed, so that a stylized dL syntax can be used to specify hybrid programs and their properties. © 2022 acm.

关键词： Hybrid systems

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ProSE: the Architecture and design of a Protein Discovery Engine 27

ProSE: The Architecture and Design of a Protein Discovery En...

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27th acm International conference on Architectural Support for programming languages and Operating Systems (ASPLOS)

作者： Robson, Eyes Xu, Ceyu Wills, Lisa Wu Univ Calif Berkeley Berkeley CA 94720 USA Duke Univ Durham NC USA

ISBN: (纸本)9781450392051

Protein language models have enabled breakthrough approaches to protein structure prediction, function annotation, and drug discovery. A primary limitation to the widespread adoption of these powerful models is the high computational cost associated with the training and inference of these models, especially at longer sequence lengths. We present the architecture, microarchitecture, and hardware implementation of a protein design and discovery accelerator, ProSE (Protein Systolic Engine). ProSE has a collection of custom heterogeneous systolic arrays and special functions that process transfer learning model inferences efficiently. the architecture marries SIMD-style computations with systolic array architectures, optimizing coarse-grained operation sequences across model layers to achieve efficiency without sacrificing generality. ProSE performs Protein BERT inference at up to 6.9x speedup and 48x power efficiency (performance/Watt) compared to one NVIDIA A100 GPU. ProSE achieves up to 5.5 x (12.7x) speedup and 173x (249x) power efficiency compared to TPUv3 (TPUv2).

关键词： Accelerators Neural Networks Transformers Domain-Specific Architecture NLP Protein design

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Toward Just-in-Time and language-Agnostic Mutation Testing 22

Toward Just-in-Time and Language-Agnostic Mutation Testing

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6th International conference on the Art, Science, and Engineering of programming (programming)

作者： Reschke, Stefan Mattis, Toni Niephaus, Fabio Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany Oracle Labs Potsdam Germany

ISBN: (纸本)9781450396561

Mutation Testing is a popular approach to determine the quality of a suite of unit tests. It is based on the idea that introducing faults into a system under test (SUT) should cause tests to fail, otherwise, the test suite might be of insufficient quality. In the language of mutation testing, such a fault is referred to as "mutation", and an instance of the SUT's code that contains the mutation is referred to as "mutant". Mutation testing is computationally expensive and time-consuming. Reasons for this include, for example, a high number of mutations to consider, interrelations between these mutations, and mutant-associated costs such as the cost of mutant creation or the cost of checking whether any tests fail in response. Furthermore, implementing a reliable tool for automatic mutation testing is a significant effort for any language. As a result, mutation testing is only available for some languages. Present mutation tools often rely on modifying code or binary executables. We refer to this as "ahead-of-time" mutation testing. Oftentimes, they neither take dynamic information that is only available at run-time into account nor alter program behavior at run-time. However, mutating via the latter could save costs on mutant creation: If the corresponding module of code is compiled, only the mutated section of code needs to be recompiled. Run-time information (like previous execution results selected by an initial test run) could help to determine the utility of a mutant. Skipping mutants of low utility could have an impact on mutation testing efficiency. We refer to this approach as just-in-time mutation testing. In this paper, we provide a proof of concept for just-in-time and language-agnostic mutation testing. We present preliminary results of a feasibility study that explores the implementation of just-in-time mutation testing based on Truffle's instrumentation API. Based on these results, future research can evaluate the implications of just-in-time and langua

关键词： mutation testing mutation coverage just-in-time language-agnostic GraalVM Truffle polyglot

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Multi-language static code analysis on the LARA framework 10

Multi-language static code analysis on the LARA framework

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10th acm sigplan International Workshop on the State Of the Art in Program Analysis, SOAP 2021, co-located with the 42nd acm sigplan International conference on programming language design and implementation, PLDI 2021

作者： Teixeira, Gil Bispo, João Correia, Filipe F. Faculty of Engineering University of Porto Porto Portugal Faculty of Engineering University of Porto Inesc Tec Porto Portugal

ISBN: (纸本)9781450384681

We propose a mechanism to raise the abstraction level of source-code analysis and robustly support multiple languages. Built on top of the LARA framework, it allows sharing language specifications between LARA source-to-source compilers, and enables the mapping of a virtual AST over the nodes of ASTs provided by different, unrelated parsers. We use this approach to create a language specification for Object-Oriented (OO) languages and add support for three different LARA compilers. We evaluate it by implementing a library of 18 software metrics using this language specification and apply the metrics to source code in four programming languages (C, C++, Java, and JavaScript). We compare the results with other tools to evaluate the approach. © 2021 Owner/Author.

关键词： Object oriented programming

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Improving on the Experience of Hand-Assembling Programs for Application-Specific Architectures 21

Improving on the Experience of Hand-Assembling Programs for ...

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5th International conference on the Art, Science, and Engineering of programming (programming)

作者： Piumarta, Ian Kyoto Univ Adv Sci Kyoto Japan

ISBN: (纸本)9781450389860

Creating an application-specific processor is an effective and popular way to solve many problems in embedded hardware design using FPGAs, ASICs, or custom silicon. programming these processors is complicated by the lack of toolchain support for creating the necessary binary code as part of hardware design, implementation, and evaluation. Hardware developers who cannot create their own ad-hoc assembler are left to hand-assemble their code into binary instructions which is both painful and error prone. We present a tool that supports the rapid creation of assemblers for application-specific processors. A single language is used to specify both instruction formats as collections of bit fields and the instantiation of those formats into sequences of binary instructions as a single, homogeneous activity that is designed to be as familiar and accessible to hardware designers as possible. the output from the tool can be used directly by hardware synthesis tools to initialise the program memory of an application-specific processor.

关键词： domain specific languages macro languages micro assemblers microcode embedded programming application specific processor implementation FPGA configuration memory

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SOAP 2021 - Proceedings of the 10th acm sigplan International Workshop on the State of the Art in Program Analysis, co-located with PLDI 2021

SOAP 2021 - Proceedings of the 10th ACM SIGPLAN Internationa...

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ISBN: (纸本)9781450384681

the proceedings contain 8 papers. the topics discussed include: static analysis for dummies: experiencing LiSA;security and quality: two sides of the same coin?;program analysis for reversible languages;PerfLens: a data-driven performance bug detection and fix platform;Weldr: fusing binaries for simplified analysis;multi-language static code analysis on the LARA framework;serialization-aware call graph construction;and scalable string analysis: an experience report.

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HACCLE: Metaprogramming for Secure Multi-Party Computation 2021

HACCLE: Metaprogramming for Secure Multi-Party Computation

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20th acm sigplan International conference on Generative programming: Concepts and Experiences (GPCE)

作者： Bao, Yuyan Sundararajah, Kirshanthan Malik, Raghav Ye, Qianchuan Wagner, Christopher Jaber, Nouraldin Wang, Fei Ameri, Mohammad Hassan Lu, Donghang Seto, Alexander Delaware, Benjamin Samanta, Roopsha Kate, Aniket Garman, Christina Blocki, Jeremiah Letourneau, Pierre-David Meister, Benoit Springer, Jonathan Rompf, Tiark Kulkarni, Milind Univ Waterloo Waterloo ON Canada Purdue Univ W Lafayette IN 47907 USA Reservoir Labs New York NY USA

ISBN: (纸本)9781450391122

Cryptographic techniques have the potential to enable distrusting parties to collaborate in fundamentally new ways, but their practical implementation poses numerous challenges. An important class of such cryptographic techniques is known as Secure Multi-Party Computation (MPC). Developing Secure MPC applications in realistic scenarios requires extensive knowledge spanning multiple areas of cryptography and systems. And while the steps to arrive at a solution for a particular application are often straightforward, it remains difficult to make the implementation efficient, and tedious to apply those same steps to a slightly different application from scratch. Hence, it is an important problem to design platforms for implementing Secure MPC applications with minimum effort and using techniques accessible to non-experts in cryptography. In this paper, we present the HACCLE (High Assurance Compositional Cryptography: languages and Environments) toolchain, specifically targeted to MPC applications. HACCLE contains an embedded domain-specific language Harpoon, for software developers without cryptographic expertise to write MPC-based programs, and uses Lightweight Modular Staging (LMS) for code generation. Harpoon programs are compiled into acyclic circuits represented in HACCLE's Intermediate Representation (HIR) that serves as an abstraction over different cryptographic protocols such as secret sharing, homomorphic encryption, or garbled circuits. implementations of different cryptographic protocols serve as different backends of our toolchain. the extensible design of HIR allows cryptographic experts to plug in new primitives and protocols to realize computation. And the use of standard metaprogramming techniques lowers the development effort significantly. We have implemented Harpoon and HACCLE, and used them to program interesting applications (e.g., secure auction) and key computation components of Secure MPC applications (e.g., matrix-vector multiplication and merg

关键词： metaprogramming domain-specific language secure multi-party computation

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Proceedings of the acm sigplan conference on programming language design and implementation (PLDI)

Proceedings of the ACM SIGPLAN Conference on Programming Lan...

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39th acm sigplan conference on programming language design and implementation, PLDI 2018

ISBN: (纸本)9781450356985

the proceedings contain 55 papers. the topics discussed include: BLeak: automatically debugging memory leaks in web applications;putting in all the stops: execution control for JavaScript;persistency for synchronization-free regions;write-rationing garbage collection for hybrid memories;mapping spiking neural networks onto a manycore neuromorphic architecture;static serializability analysis for causal consistency;Cuba: interprocedural context-unbounded analysis of concurrent programs;advanced automata-based algorithms for program termination checking;HHVM JIT: a profile-guided, region-based compiler for PHP and Hack;EffectiveSan: type and memory error detection using dynamically typed C/C++;calling-to-reference context translation via constraint-guided CFL-reachability;the semantics of transactions and weak memory in x86, power, ARM, and C++;MixT: a language for mixing consistency in geodistributed transactions;finding root causes of floating point error;to-many or to-one? all-in-one! efficient purely functional multi-maps with type-heterogeneous hash-tries;spatial: a language and compiler for application accelerators;enhancing computation-to-core assignment with physical location information;and SWOOP: so ware-hardware co-design for non-speculative, execute-ahead, in-order cores.

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Parsel: Algorithmic Reasoning with language Models by Composing Decompositions 37

Parsel: Algorithmic Reasoning with Language Models by Compos...

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37th conference on Neural Information Processing Systems, NeurIPS 2023

作者： Zelikman, Eric Huang, Qian Poesia, Gabriel Goodman, Noah D. Haber, Nick Stanford University United States

ISBN: (纸本)9781713899921

Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs. For these tasks, humans often start with a high-level algorithmic design and implement each part gradually. We introduce Parsel, a framework enabling automatic implementation and validation of complex algorithms with code LLMs. With Parsel, we automatically decompose algorithmic tasks into hierarchical natural language function descriptions and then search over combinations of possible function implementations using tests. We show that Parsel can be used across domains requiring hierarchical reasoning, including program synthesis and robotic planning. We find that, using Parsel, LLMs solve more competition-level problems in the APPS dataset, resulting in pass rates over 75% higher than prior results from directly sampling AlphaCode and Codex, while often using a smaller sample budget. Moreover, with automatically generated tests, we find that Parsel can improve the state-of-the-art pass@1 performance on HumanEval from 67% to 85%. We also find that LLM-generated robotic plans using Parsel are more than twice as likely to be considered accurate than directly generated plans. Lastly, we explore how Parsel addresses LLM limitations and discuss how Parsel may be useful for human programmers. We release our code at https://***/ezelikman/parsel. © 2023 Neural information processing systems foundation. All rights reserved.

关键词： Robot programming

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