Selective just-in-time compilation for client-side mobile javascript engine

Lee, Seong-Won; Moon, Soo-Mook

doi:10.1145/2038698.2038703

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…However, we assume no knowledge about the underlying JIT compilation mechanism -instead, we expect to draw all necessary conclusions from our collected data. On the other hand, there are several other studies that focus on tuning the underlying JavaScript JIT compilation mechanism to improve performance [12,21,22,23,24] or on selecting the best JavaScript framework to program with [17]. For instance, Lee and Moon [22] study, for mobile web browsers, how the JIT engine can be turned on or off in order to avoid waiting for the compilation of a code that may be not frequently executed enough to pay off the compilation time.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, there are several other studies that focus on tuning the underlying JavaScript JIT compilation mechanism to improve performance [12,21,22,23,24] or on selecting the best JavaScript framework to program with [17]. For instance, Lee and Moon [22] study, for mobile web browsers, how the JIT engine can be turned on or off in order to avoid waiting for the compilation of a code that may be not frequently executed enough to pay off the compilation time. Furthermore, mobile web browsers are such an important cellphone use case that they deserve a specific study on how to render pages with the minimum use of battery: Zhu and Vijay [31] analyze how to leverage heterogeneous multiprocessor systems to render mobile web pages fast enough to the user while maximizing power efficiency.…”

Section: Related Workmentioning

confidence: 99%

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Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler

Auler

Borin

Halleux

et al. 2014

Lecture Notes in Computer Science

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Abstract. JavaScript has long outpaced its original target applications, being used not only for coding complex web clients, but also web servers, game development and even desktop applications. The most appealing advantage of moving applications to JavaScript is its capability to run the same code in a large number of different devices. It is not surprising that many compilers target JavaScript as an intermediate language.However, writing optimizations and analyses passes for a compiler that emits JavaScript is challenging: a long time spent in optimizing the code in a certain way can be excellent for some browsers, but a futile effort for others. For example, we show that applying JavaScript code optimizations in a tablet with Windows 8 and Internet Explorer 11 increased performance by, on average, 5 times, while running in a desktop with Windows 7 and Firefox decreased performance by 20%. Such a scenario demands a radical new solution for the traditional compiler optimization flow. This paper proposes collecting web clients performance data to build a crowdsourced compiler flag suggestion system in the cloud that helps the compiler perform the appropriate optimizations for each client platform. Since this information comes from crowdsourcing rather than manual investigations, fruitless or harmful optimizations are automatically discarded. Our approach is based on live measurements done while clients use the application on real platforms, proposing a new paradigm on how optimizations are tested.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler

Auler

Borin

Halleux

et al. 2014

Lecture Notes in Computer Science

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“…In the multi-core environment, they improved performance by 6 % on average and up to 34 % over the conventional trace-based JIT. These history-based approaches, however, may not be applicable to the real world [23]. Along with JIT compilation, many others have proposed JavaScript acceleration by dynamic parallelization.…”

Section: Javascript Accelerationmentioning

confidence: 99%

O2WebCL: an automatic OpenCL-to-WebCL translator for high performance web computing

et al. 2014

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HTML5 has become very attractive for cross-platform applications on software-side. Likewise, GPU has increased in popularity due to its energy efficiency of parallel execution on hardware-side. JavaScript, which performs dynamic operations of HTML5, is natively slow. To resolve the performance problem, web computing language (WebCL) can be utilized. WebCL operates by adapting open computing language (OpenCL) codes for web execution. Programming of WebCL code can be quite challenging, however, for both OpenCL and web programmers. In this paper, we propose an OpenCL-to-WebCL translator infrastructure, called O2WebCL. O2WebCL consists of a fully automated OpenCL-to-WebCL translator and O2WebCL library. The O2WebCL translator converts OpenCL codes into WebCL codes and O2WebCL application programming interfaces. The O2WebCL library operates as a bridge between the OpenCL and WebCL libraries. We resolved some implementation issues for the bridge such as type conversion and indirect addressing. We evaluated the performance of our work and found that we could achieve, on average, 75 % of the performance of the equivalent OpenCL execution.

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“…The work by Lee et al [23] provides good insight regarding whether JavaScript engines should put so much effort into compiling all the script to avoid interpretation. Benchmark software exhibit many opportunities for hot traces to be compiled into extremely efficient native code but real web pages' JavaScript code does not necessarily contain so many instructions being called again and again.…”

Section: Combined Jit Frameworkmentioning

confidence: 99%

A hybrid just-in-time compiler for android

Pérez

Kao

Chung

et al. 2012

Proceedings of the 2012 International Conference on Compilers, Architectures and Synthesis for Embedded Systems

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The Dalvik virtual machine is the main application platform running on Google's Android operating system for mobile devices and tablets. It is a Java Virtual Machine running a basic trace-based JIT compiler, unlike web browser JavaScript engines that usually run a combination of both method and trace-based JIT types. We developed a methodbased JIT compiler based on the Low Level Virtual Machine framework that delivers performance improvement comparable to that of an Ahead-Of-Time compiler. We compared our method-based JIT against Dalvik's own trace-based JIT using common benchmarks available in the Android Market. Our results show that our method-based JIT is better than a basic trace-based JIT, and that, by sharing profiling and compilation information among each other, a smart combination of both JIT techniques can achieve a great performance gain.

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Selective just-in-time compilation for client-side mobile javascript engine

Cited by 10 publications

References 7 publications

Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler

Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler

O2WebCL: an automatic OpenCL-to-WebCL translator for high performance web computing

A hybrid just-in-time compiler for android

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