673 papers · page 8 of 34
Modern microprocessors are equipped with Single Instruction Multiple Data (SIMD) or vector instructions which expose data level parallelism at a fine granularity. Programmers exploit this parallelism by using low-level vector intrinsics in their code. However, once programs are w…
Data flow analysis computes Maximum Fix Point (MFP) solution which represents an over approximation of the data reaching a program point along all control flow paths (cfps). Some of these cfps may be infeasible; meaning, the necessary pre-condition for execution of cfp is not sat…
The C++ programming language offers a strong exception mechanism for error handling at the language level, improving code readability, safety, and maintainability. However, current C++ implementations are targeted at general-purpose systems, often sacrificing code size, memory us…
Approximate computing is necessary to meet deadlines in some compute-intensive applications like simulation. Building them requires a high level of expertise from the application designers as well as a significant development effort. Some application programming interfaces greatl…
Property caches are a well-known technique invented over 30 years ago to improve dynamic object accesses. They have been adapted to JavaScript, which they have greatly contributed to accelerate. However, this technique is applicable only when some constraints are satisfied by the…
The precision of heap analyses determines the precision of several associated optimizations, and has been a prominent area in compiler research. It has been shown that context-sensitive heap analyses are more precise than the insensitive ones, but their scalability continues to b…
Much research work has been done to parallelize loops with recurrences over the last several decades. Recently, sampling-and-reconstruction method was proposed to parallelize a broad class of loops with recurrences in an automated fashion, with a practical runtime approach. Altho…
Reducing the loading time of a web app is important for a better user experience. The loading time includes a large amount of JavaScript execution, often composed of the execution of the global code in the script tags followed by the execution of event handlers. One approach to a…
Many applications, including program optimizations, debugging tools, and event loggers, rely on calling context to gain additional insight about how a program behaves during execution. One common strategy for determining calling contexts is to use compiler instrumentation at each…
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…