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检索条件"任意字段=39th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2018"

共 22 条记录，以下是11-20 订阅

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Polyhedral Auto-transformation with No Integer Linear programming 2018

Polyhedral Auto-transformation with No Integer Linear Progra...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Acharya, Aravind Bondhugula, Uday Cohen, Albert Indian Inst Sci Dept Comp Sci & Automat Bangalore Karnataka India INRIA Paris France DI Ecole Normale Super Paris France

ISBN: (纸本)9781450356985

State-of-the-art algorithms used in automatic polyhedral transformation for parallelization and locality optimization typically rely on Integer Linear programming (ILP). this poses a scalability issue when scaling to tens or hundreds of statements, and may be disconcerting in production compiler settings. In this work, we consider relaxing integrality in the ILP formulation of the Pluto algorithm, a popular algorithm used to find good affine transformations. We show that the rational solutions obtained from the relaxed LP formulation can easily be scaled to valid integral ones to obtain desired solutions, although with some caveats. We first present formal results connecting the solution of the relaxed LP to the original Pluto ILP. We then show that there are difficulties in realizing the above theoretical results in practice, and propose an alternate approach to overcome those while still leveraging linear programming. Our new approach obtains dramatic compile-time speedups for a range of large benchmarks. While achieving these compile-time improvements, we show that the performance of the transformed code is not sacrificed. Our approach to automatic transformation provides a mean compilation time improvement of 5.6x over state-of-the-art on relevant challenging benchmarks from the NAS PB, SPEC CPU 2006, and PolyBench suites. We also came across situations where prior frameworks failed to find a transformation in a reasonable amount of time, while our new approach did so instantaneously.

关键词： Polyhedral transformation Pluto algorithm

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A General Path-Based Representation for Predicting Program Properties 2018

A General Path-Based Representation for Predicting Program P...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Alon, Uri Zilberstein, Meital Levy, Omer Yahav, Eran Technion Haifa Israel Univ Washington Seattle WA 98195 USA

ISBN: (纸本)9781450356985

Predicting program properties such as names or expression types has a wide range of applications. It can ease the task of programming, and increase programmer productivity. A major challenge when learning from programs is how to represent programs in a way that facilitates effective learning. We present a general path-based representation for learning from programs. Our representation is purely syntactic and extracted automatically. the main idea is to represent a program using paths in its abstract syntax tree (AST). this allows a learning model to leverage the structured nature of code rather than treating it as a flat sequence of tokens. We showthat this representation is general and can: (i) cover different prediction tasks, (ii) drive different learning algorithms (for both generative and discriminative models), and (iii) work across different programming languages. We evaluate our approach on the tasks of predicting variable names, method names, and full types. We use our representation to drive both CRF-based and word2vec-based learning, for programs of four languages: JavaScript, Java, Python and C#. Our evaluation shows that our approach obtains better results than task-specific handcrafted representations across different tasks and programming languages.

关键词： programming languages Big Code Machine Learning Learning Representations

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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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Persistency for Synchronization-Free Regions 2018

Persistency for Synchronization-Free Regions

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Gogte, Vaibhav Diestelhorst, Stephan Wang, William Narayanasamy, Satish Chen, Peter M. Wenisch, thomas F. Univ Michigan Ann Arbor MI 48109 USA Arm Res Cambridge England

ISBN: (纸本)9781450356985

Nascent persistent memory (PM) technologies promise the performance of DRAM with the durability of disk, but how best to integrate them into programming systems remains an open question. Recent work extends language memory models with a persistency model prescribing semantics for updates to PM. these semantics enable programmers to design data structures in PM that are accessed like memory and yet are recoverable upon crash or failure. Alas, we find the semantics and performance of existing approaches unsatisfying. Existing approaches require high-overhead mechanisms, are restricted to certain synchronization constructs, provide incomplete semantics, and/or may recover to state that cannot arise in fault-free execution. We propose persistency semantics that guarantee failure atomicity of synchronization-free regions (SFRs) -program regions delimited by synchronization operations. Our approach provides clear semantics for the PM state recovery code may observe and extends C++11's "sequential consistency for data-race-free" guarantee to post-failure recovery code. We investigate two designs for failure-atomic SFRs that vary in performance and the degree to which commit of persistent state may lag execution. We demonstrate both approaches in LLVM v3.6.0 and compare to a state-of-the-art baseline to show performance improvement up to 87.5% (65.5% avg).

关键词： Persistent memories persistency models language memory models failure-atomicity synchronization-free regions

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To-Many or To-One? All-in-One! Efficient Purely Functional Multi-maps with Type-Heterogeneous Hash-Tries 2018

To-Many or To-One? All-in-One! Efficient Purely Functional M...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Steindorfer, Michael J. Vinju, Jurgen J. Delft Univ Technol Delft Netherlands Ctr Wiskunde & Informat Amsterdam Netherlands TU Eindhoven Eindhoven Netherlands

ISBN: (纸本)9781450356985

An immutable multi-map is a many-to-many map data structure with expected fast insert and lookup operations. this data structure is used for applications processing graphs or many-to-many relations as applied in compilers, runtimes of programming languages, or in static analysis of object-oriented systems. Collection data structures are assumed to carefully balance execution time of operations with memory consumption characteristics and need to scale gracefully from a few elements to multiple gigabytes at least. When processing larger in-memory data sets the overhead of the data structure encoding itself becomes a memory usage bottleneck, dominating the overall performance. In this paper we propose AXIOM, a novel hash-trie data structure that allows for a highly efficient and type-safe multi-map encoding by distinguishing inlined values of singleton sets from nested sets of multi-mappings. AXIOM strictly generalizes over previous hash-trie data structures by supporting the processing of fine-grained type-heterogeneous content on the implementation level (while API and language support for type-heterogeneity are not scope of this paper). We detail the design and optimizations of AXIOM and further compare it against state-of-the-art immutable maps and multi-maps in Java, Scala and Clojure. We isolate key differences using microbenchmarks and validate the resulting conclusions on a case study in static analysis. AXIOM reduces the key-value storage overhead by 1.87 x;with specializing and inlining across collection boundaries it improves by 5.1 x.

关键词： Data structures persistent data structures functional programming hashtable multi-map many-to-many relation graph optimization performance JVM

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Spatial: A language and Compiler for Application Accelerators 2018

Spatial: A Language and Compiler for Application Accelerator...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Koeplinger, David Feldman, Matthew Prabhakar, Raghu Zhang, Yaqi Hadjis, Stefan Fiszel, Ruben Zhao, Tian Nardi, Luigi Pedram, Ardavan Kozyrakis, Christos Olukotun, Kunle Stanford Univ Stanford CA 94305 USA Ecole Polytech Fed Lausanne Lausanne Switzerland

ISBN: (纸本)9781450356985

Industry is increasingly turning to reconfigurable architectures like FPGAs and CGRAs for improved performance and energy efficiency. Unfortunately, adoption of these architectures has been limited by their programming models. HDLs lack abstractions for productivity and are difficult to target from higher level languages. HLS tools are more productive, but offer an ad-hoc mix of software and hardware abstractions which make performance optimizations difficult. In this work, we describe a new domain-specific language and compiler called Spatial for higher level descriptions of application accelerators. We describe Spatial's hardware-centric abstractions for both programmer productivity and design performance, and summarize the compiler passes required to support these abstractions, including pipeline scheduling, automatic memory banking, and automated design tuning driven by active machine learning. We demonstrate the language's ability to target FPGAs and CGRAs from common source code. We show that applications written in Spatial are, on average, 42% shorter and achieve a mean speedup of 2.9x over SDAccel HLS when targeting a Xilinx UltraScale+ VU9P FPGA on an Amazon EC2 F1 instance.

关键词： domain-specific languages compilers hardware accelerators high-level synthesis reconfigurable architectures FPGAs CGRAs

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PMAF: An Algebraic Framework for Static Analysis of Probabilistic Programs 2018

PMAF: An Algebraic Framework for Static Analysis of Probabil...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Wang, Di Hoffmann, Jan Reps, thomas Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Wisconsin Madison WI 53706 USA GrammaTech Inc Ithaca NY USA

ISBN: (纸本)9781450356985

Automatically establishing that a probabilistic program satisfies some property phi is a challenging problem. While a sampling-based approach-which involves running the program repeatedly-can suggest that phi holds, to establish that the program satisfies phi, analysis techniques must be used. Despite recent successes, probabilistic static analyses are still more difficult to design and implement than their deterministic counterparts. this paper presents a framework, called PMAF, for designing, implementing, and proving the correctness of static analyses of probabilistic programs with challenging features such as recursion, unstructured control-flow, divergence, nondeterminism, and continuous distributions. PMAF introduces pre-Markov algebras to factor out common parts of different analyses. To perform interprocedural analysis and to create procedure summaries, PMAF extends ideas from non-probabilistic interprocedural dataflow analysis to the probabilistic setting. One novelty is that PMAF is based on a semantics formulated in terms of a control-flow hypergraph for each procedure, rather than a standard control-flow graph. To evaluate its effectiveness, PMAF has been used to reformulate and implement existing intraprocedural analyses for Bayesian-inference and the Markov decision problem, by creating corresponding interprocedural analyses. Additionally, PMAF has been used to implement a new interprocedural linear expectation-invariant analysis. Experiments with benchmark programs for the three analyses demonstrate that the approach is practical.

关键词： Program analysis probabilistic programming expectation invariant pre-Markov algebra

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An Applied Quantum Hoare Logic 2019

An Applied Quantum Hoare Logic

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40th acm sigplan conference on programming language design and implementation (pldi) part of acm's Federated Computing Research conference (FCRC)

作者： Zhou, Li Yu, Nengkun Ying, Mingsheng Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China Univ Technol Sydney CQSI FEIT Sydney NSW Australia Chinese Acad Sci Inst Software Beijing Peoples R China Tsinghua Univ Beijing Peoples R China

ISBN: (纸本)9781450367127

We derive a variant of quantum Hoare logic (QHL), called applied quantum Hoare logic (aQHL for short), by: (1) restricting QHL to a special class of preconditions and postconditions, namely projections, which can significantly simplify verification of quantum programs and are much more convenient when used in debugging and testing;and (2) adding several rules for reasoning about robustness of quantum programs, i.e. error bounds of outputs. the effectiveness of aQHL is shown by its applications to verify two sophisticated quantum algorithms: HHL (Harrow-Hassidim-Lloyd) for solving systems of linear equations and qPCA (quantum Principal Component Analysis).

关键词： Quantum computation programming languages Hoare logic projections robustness

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Advanced Automata-Based Algorithms for Program Termination Checking 2018

Advanced Automata-Based Algorithms for Program Termination C...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Chen, Yu-Fang Heizmann, Matthias Lengal, Ondrej Li, Yong Tsai, Ming-Hsien Turrini, Andrea Zhang, Lijun Acad Sinica Taipei Taiwan Natl Taipei Univ New Taipei Taiwan Univ Freiburg Freiburg Germany Brno Univ Technol FIT IT4Innovat Ctr Excellence Brno Czech Republic Chinese Acad Sci Univ Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing Peoples R China Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing Peoples R China

ISBN: (纸本)9781450356985

In 2014, Heizmann et al. proposed a novel framework for program termination analysis. the analysis starts with a termination proof of a sample path. the path is generalized to a Buchi automaton (BA) whose language (by construction) represents a set of terminating paths. All these paths can be safely removed from the program. the removal of paths is done using automata difference, implemented via BA complementation and intersection. the analysis constructs in this way a set of BAs that jointly "cover" the behavior of the program, thus proving its termination. An implementation of the approach in Ultimate Automizer won the 1st place in the Termination category of SV-Comp 2017. In this paper, we exploit advanced automata-based algorithms and propose several non-trivial improvements of the framework. To alleviate the complementation computation for BAs-one of the most expensive operations in the framework-, we propose a multi-stage generalization construction. We start with generalizations producing subclasses of BAs (such as deterministic BAs) for which efficient complementation algorithms are known, and proceed to more general classes only if necessary. Particularly, we focus on the quite expressive subclass of semideterministic BAs and provide an improved complementation algorithm for this class. Our experimental evaluation shows that the proposed approach significantly improves the power of termination checking within the Ultimate Automizer framework.

关键词： Program Termination Buchi Automata Complementation and language Difference

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SWOOP: Software-Hardware Co-design for Non-speculative, Execute-Ahead, In-Order Cores 2018

SWOOP: Software-Hardware Co-design for Non-speculative, Exec...

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39th acm sigplan conference on programming language design and implementation (pldi)

作者： Tran, Kim-Anh Jimborean, Alexandra Carlson, Trevor E. Koukos, Konstantinos Sjalander, Magnus Kaxiras, Stefanos Uppsala Univ Uppsala Sweden Natl Univ Singapore Singapore Singapore Norwegian Univ Sci & Technol NTNU Trondheim Norway

ISBN: (纸本)9781450356985

Increasing demands for energy eiciency constrain emerging hardware. these new hardware trends challenge the established assumptions in code generation and force us to rethink existing software optimization techniques. We propose a cross-layer redesign of the way compilers and the underlying microarchitecture are built and interact, to achieve both performance and high energy eiciency. In this paper, we address one of the main performance bottlenecksDlast-level cache misses-through a software-hardware co-design. Our approach is able to hide memory latency and attain increased memory and instruction level parallelism by orchestrating a non-speculative, execute-ahead paradigm in software (SWOOP). While out-of-order (OoO) architectures attempt to hide memory latency by dynamically reordering instructions, they do so through expensive, power-hungry, speculative mechanisms. We aim to shift this complexity into software, and we build upon compilation techniques inherited from VLIW, software pipelining, modulo scheduling, decoupled access-execution, and software prefetching. In contrast to previous approaches we do not rely on either software or hardware speculation that can be detrimental to eiciency. Our SWOOP compiler is enhanced with lightweight architectural support, thus being able to transform applications that include highly complex control-low and indirect memory accesses. the efectiveness of our software-hardware co-design is proven on the most limited but energy-eicient micro-architectures, non-speculative, in-order execution (InO) cores, which rely entirely on compile-time instruction scheduling. We show that (1) our approach achieves its goal in hiding the latency of the last-level cache misses and improves performance by 34% and energy eiciency by 23% over the baseline InO core, competitive with an oracle InO core with a perfect last-level cache;(2) can even exceed the performance of the oracle core, by exposing a higher degree of memory and instruction level

关键词： hardware-software co-design compilers memory level parallelism

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