How Many Threads to Spawn during Program Multithreading?

Nicolau, Alexandru; Kejariwal, Arun

doi:10.1007/978-3-642-19595-2_12

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…It is one of the most important factors in applying a thread-based parallelization methodology since it determines the performance gain [15]. Thus monitoring and fine-tuning it on the fly are required to gain non-fluctuating performance especially when the target tasks could not be easily divided and distributed equally to each thread.…”

Section: Matrix Calculationmentioning

confidence: 99%

A Code-level Parallelization Methodology to Enhance Interactivity of Smartphone Entertainment Applications

Kim¹

2015

Journal of Digital Convergence

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One of the fundamental requirements of entertainment applications is interactivity with users. The mobile device such as the smartphone, however, does not guarantee it due to the limit of the application processor's computing power, memory size and available electric power of the battery. This paper proposes a methodology to boost responsiveness of interactive applications by taking advantage of the parallel architecture of mobile devices which, for instance, have dual-core, quad-core or octa-core. To harness the multi-core architecture, it exploits the POSIX thread, a platform-independent thread library to be able to be used in various mobile platforms such as Android, iOS, etc. As a useful application example of the methodology, a heavy matrix calculation function was transformed to a parallelized version which showed around 2.5 ~ 3 times faster than the original version in a real-world usage environment.

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Section: Matrix Calculationmentioning

confidence: 99%

A Code-level Parallelization Methodology to Enhance Interactivity of Smartphone Entertainment Applications

Kim¹

2015

Journal of Digital Convergence

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IOPA: I/O-aware parallelism adaption for parallel programs

Liu

Chen

et al. 2017

PLoS ONE

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With the development of multi-/many-core processors, applications need to be written as parallel programs to improve execution efficiency. For data-intensive applications that use multiple threads to read/write files simultaneously, an I/O sub-system can easily become a bottleneck when too many of these types of threads exist; on the contrary, too few threads will cause insufficient resource utilization and hurt performance. Therefore, programmers must pay much attention to parallelism control to find the appropriate number of I/O threads for an application. This paper proposes a parallelism control mechanism named IOPA that can adjust the parallelism of applications to adapt to the I/O capability of a system and balance computing resources and I/O bandwidth. The programming interface of IOPA is also provided to programmers to simplify parallel programming. IOPA is evaluated using multiple applications with both solid state and hard disk drives. The results show that the parallel applications using IOPA can achieve higher efficiency than those with a fixed number of threads.

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How Many Threads to Spawn during Program Multithreading?

Cited by 2 publications

References 21 publications

A Code-level Parallelization Methodology to Enhance Interactivity of Smartphone Entertainment Applications

A Code-level Parallelization Methodology to Enhance Interactivity of Smartphone Entertainment Applications

IOPA: I/O-aware parallelism adaption for parallel programs

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