High-level multicore programming with XJava

Otto, Frank; Pankratius, Victor; Tichy, Walter F.

doi:10.1109/icse-companion.2009.5071011

“…XJava [24][25][26] is a Java extension also closely inspired by StreamIt. Its runtime exposes a small number of tuning parameters; [26] gives heuristics performing close to exhaustive search.…”

Section: Related Workmentioning

confidence: 99%

StreamJIT

Bosboom¹,

Rajadurai

²

,

Wong

³

et al. 2014

Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages &Amp; Applications

11

0

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There are many domain libraries, but despite the performance benefits of compilation, domain-specific languages are comparatively rare due to the high cost of implementing an optimizing compiler. We propose commensal compilation, a new strategy for compiling embedded domain-specific languages by reusing the massive investment in modern language virtual machine platforms. Commensal compilers use the host language's front-end, use host platform APIs that enable back-end optimizations by the host platform JIT, and use an autotuner for optimization selection. The cost of implementing a commensal compiler is only the cost of implementing the domain-specific optimizations. We demonstrate the concept by implementing a commensal compiler for the stream programming language StreamJIT atop the Java platform. Our compiler achieves performance 2.8 times better than the StreamIt native code (via GCC) compiler with considerably less implementation effort.

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“…Other streaming languages have dropped static data rates in favor of dynamic fork-join parallelism, becoming more expressive at the cost of performance. XJava [24][25][26] is a Java extension also closely inspired by StreamIt. Its runtime exposes a small number of tuning parameters; [26] gives heuristics performing close to exhaustive search.…”

Section: Related Workmentioning

confidence: 99%

StreamJIT

Bosboom

¹

,

Rajadurai

²

,

Wong

³

et al. 2014

SIGPLAN Not.

4

0

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There are many domain libraries, but despite the performance benefits of compilation, domain-specific languages are comparatively rare due to the high cost of implementing an optimizing compiler. We propose commensal compilation, a new strategy for compiling embedded domain-specific languages by reusing the massive investment in modern language virtual machine platforms. Commensal compilers use the host language's front-end, use host platform APIs that enable back-end optimizations by the host platform JIT, and use an autotuner for optimization selection. The cost of implementing a commensal compiler is only the cost of implementing the domain-specific optimizations. We demonstrate the concept by implementing a commensal compiler for the stream programming language StreamJIT atop the Java platform. Our compiler achieves performance 2.8 times better than the StreamIt native code (via GCC) compiler with considerably less implementation effort.

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“…Examples of current parallel programming models include the following: POSIX API (Pthread), Cilk [1], OpenMP [2], Galois [3], OpenCL [4], StreamIt [5], X10 [6], TBB [7], XJava [8], and CUDA [9]. These programming models offer various constructs for parallelism, such as basic threads, pipelines, master/worker, producer/ consumer, data parallelism, futures, work stealing, task pools, and more.…”

Section: Introductionmentioning

confidence: 99%

Library-Independent Data Race Detection

Jannesari

¹

,

Tichy

²

2014

IEEE Trans. Parallel Distrib. Syst.

Self Cite

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Data races are a common problem on shared-memory parallel computers, including multicores. Analysis programs called race detectors help find and eliminate them. However, current race detectors are geared for specific concurrency libraries. When programmers use libraries unknown to a given detector, the detector becomes useless or requires extensive reprogramming. We introduce a new synchronization detection mechanism that is independent of concurrency libraries. It dynamically detects synchronization constructs based on a characteristic code pattern. The approach is non-intrusive and applicable to various concurrency libraries. Experimental results confirm that the approach identifies synchronizations and detects data races regardless of the concurrency libraries involved. With this mechanism, race detectors can be written once and need not be adapted to particular libraries.

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High-level multicore programming with XJava

Cited by 7 publications

References 6 publications

StreamJIT

StreamJIT

StreamJIT

Library-Independent Data Race Detection

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