26,098 papers · page 412 of 1,305
We demonstrate how deep learning over programs is used to provide (preliminary) augmented programmer intelligence. In the first part, we show how to tackle tasks like code completion, code summarization, and captioning. We describe a general path-based representation of source co…
The secure information flow problem, which checks whether low-security outputs of a program are influenced by high-security inputs, has many applications in verifying security properties in programs. In this paper we present lazy self-composition, an approach for verifying secure…
We present POS, a concurrency testing approach that samples the partial order of concurrent programs. POS uses a novel priority-based scheduling algorithm that dynamically reassigns priorities regarding the partial order information and formally ensures that each partial order wi…
Power side-channel attacks, capable of deducing secret using statistical analysis techniques, have become a serious threat to devices in cyber-physical systems and the Internet of things. Random masking is a widely used countermeasure for removing the statistical dependence betwe…
Apprenticeship learning (AL) is a kind of Learning from Demonstration techniques where the reward function of a Markov Decision Process (MDP) is unknown to the learning agent and the agent has to derive a good policy by observing an expert’s demonstrations. In this paper, we stud…
Randomized differential testing of compilers has had great success in finding compiler crashes and silent miscompilations. In this paper we investigate whether we can use similar techniques to improve the quality of the generated code: Can we compare the code generated by differe…
Just-in-time (JIT) compilation in dynamic programming languages can improve execution speed in code with hot sections. However, that comes at the cost of increased memory usage for the storage of compiled code and associated bookkeeping data, as well as up-front compilation time …
Emerging energy-harvesting computer systems extract energy from their environment to compute, sense, and communicate with no battery or tethered power supply. Building software for energy-harvesting devices is a challenge, because they operate only intermittently as energy is ava…
The Sea of Nodes intermediate representation was introduced by Cliff Click in the mid 90s as an enhanced Static Single Assignment (SSA) form. It improves on the initial SSA form by relaxing the total order on instructions in basic blocks into explicit data and control dependencie…
Polyhedral techniques have proven to be powerful for various optimizations, from automatic parallelization to accelerator programming. At their core, these techniques compute accurate dependences among statement instances in order to apply complex program transformations. Such tr…
Large infrastructures of Internet companies, such as Facebook and Twitter, are composed of several layers of micro-services. While this modularity provides scalability to the system, the I/O associated with each service request strongly impacts its performance. In this context, w…
Optimizing compilers require sophisticated program analysis and transformations to exploit modern hardware. Implementing the appropriate analysis for a compiler optimization is a time consuming activity. For example, in LLVM, tens of thousands of lines of code are required to det…
Quantum computing, once merely a curious concept discussed within the field of theoretical physics, has long-since become of practical interest in numerous fields and caught the attention of mainstream media. The reason for the widespread interest stems from the tremendous impact…
A must-alias (or “definite-alias”) analysis computes sets of expressions that are guaranteed to be aliased at a given pro- gram point. The analysis has been shown to have significant practical impact, and it is actively used in popular research frameworks and commercial tools. We…
Parallelizing compilers aim to detect data-parallel loops in sequential programs, which -- after suitable transformation -- can be safely and profitably executed in parallel. However, in the traditional model safe parallelization requires provable absence of dependences. At the s…
The Java Virtual Machine (JVM) offers an attractive runtime environment for programming language implementers. The JVM has a simple bytecode format, excellent performance, multiple state-of-the art garbage collectors, robust backwards compatibility, and it runs on almost all plat…
Iterators prescribe the traversal of data structures and determine loop termination, and many loop analyses and transformations require their exact identification. While recognition of iterators is a straight-forward task for affine loops, the situation is different for loops ite…
We present a library for the specification and implementation of distributed protocols in native F# (and other .NET languages) based on multiparty session types (MPST). There are two main contributions. Our library is the first practical development of MPST to support what we ref…
Data flow analysis traverses paths in a control flow graph (CFG) representation of programs to compute useful information. Many of these paths are infeasible, i.e. they cannot arise in any possible execution. The information computed along these paths adds imprecision to the conv…
Recent years have witnessed some influential progresses in Machine Learning (ML) and Artificial Intelligence (AI). The progresses may lead to some significant changes to future programming. Many programs, for instance, may be not code written in some specially designed programmin…