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Kernel fusion: An effective method for better power efficiency on multithreaded GPU

Kernel fusion: An effective method for better power efficien...

引用

2010 IEEE/ACM International Conference on Green Computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social Computing, CPSCom 2010

作者： Wang, Guibin Lin, YiSong Yi, Wei National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9780769543314

As one of the most popular accelerators, Graphics processing Unit (GPU) has demonstrated high computing power in several application fields. On the other hand, GPU also produces high power consumption and has been one of the most largest power consumers in desktop and supercomputer systems. However, software power optimization method targeted for GPU has not been well studied. In this work, we propose kernel fusion method to reduce energy consumption and improve power efficiency on GPU architecture. Through fusing two or more independent kernels, kernel fusion method achieves higher utilization and much more balanced demand for hardware resources, which provides much more potential for power optimization, such as dynamic voltage and frequency scaling (DVFS). Basing on the CUDA programming model, this paper also gives several different fusion methods targeted for different situations. In order to make judicious fusion strategy, we deduce the process of fusing multiple independent kernels as a dynamic programming problem, which could be well solved with many existing tools and be simply embedded into compiler or runtime system. To reduce the overhead introduced by kernel fusion, we also propose effective method to reduce the usage of shared memory and coordinate the thread space of the kernels to be fused. Detailed experimental evaluation validates that the proposed kernel fusion method could reduce energy consumption without performance loss for several typical kernels. © 2010 IEEE.

关键词： Graphics processing unit

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Accelerating Sample-based GNN Training by Feature Caching on GPUs 7

Accelerating Sample-based GNN Training by Feature Caching on...

引用

7th IEEE International Conference on Smart Cloud, SmartCloud 2022

作者： He, Yuqi Lai, Zhiquan Ran, Zhejiang Zhang, Lizhi Li, Dongsheng National University of Defense Technology National Key Laboratory of Parallel and Distributed Processing College of Computer Changsha China

ISBN: (数字)9781665451796

ISBN: (纸本)9781665451796

The existing graph neural network (GNN) systems adopt sample-based training on large-scale graphs over multiple GPUs. Although they support large-scale graph training, large data loading overhead is still a bottleneck. In this work, we propose SCGraph, a method that supports GPU high-speed feature caching. We classify the graph vertices sorted by out-degrees. For high out-degree vertices, we set grading caches via different GPUs to increase the overall cache content through NVLink high-speed data transmission between them. For low out-degree vertices, we expand training vertices' neighborhood in advance to regenerate cache. We evaluate SCGraph against two state-of-the-art industrial GNN frameworks, i.e., DGL and PaGraph on two datasets Reddit and ogbn-products. Experimental results show that SCGraph achieves up to 1.83× performance speedup over the state-of-the-art baselines. © 2022 IEEE.

关键词： Graph neural networks

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Detecting null dereference with a game

Detecting null dereference with a game

引用

2012 International Conference on Information technology and Software Engineering, ITSE 2012

作者： Chen, Jie National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology 410073 Changsha China

ISBN: (纸本)9783642345302

As one of the most dangerous and common software vulnerabilities, null dereference often leads to program crashes. In this chapter we propose a human computation method to detect null dereference in a "frog and bug" game. The purpose of the game is to utilize the rich distributed human resource to do the complex science work in a simple and pleasant way. Programs are transformed into visual puzzles first, and then the server collects information from the people playing the game. Finally the recorded metadata is translated back into the positions in the programs where null dereference may happen. The game has shown to be effective. © 2013 Springer-Verlag.

关键词： Computers

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Performance analysis of end-to-end services in virtualized computing environments

Performance analysis of end-to-end services in virtualized c...

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11th IFIP WG 10.3 International Conference on Network and parallel Computing, NPC 2014

作者： Yan, Guofeng Peng, Yuxing School of Computer and Communication Hunan Institute of Engineering China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Science and Technology Changsha 410073 China

ISBN: (纸本)9783662449165

In this paper, we present a novel stochastic analyzing model for e2e virtualized cloud services using hierarchical Quasi-Birth Death structures (QBDs). We divide the overall virtualized cloud services into three sub-hierarchies, and then, analyze each individual sub-hierarchy using QBDs. Our approach reduces the complexity of performance analysis. Our results are useful to prevent the cloud center from entering unsafe operation, and also reveal practical insights into load balancing and capacity planning for virtualized computing environments. © 2014 IFIP International Federation for Information processing.

关键词： Stochastic systems

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SMP-SIM: An event-driven performance simulator for SMP

SMP-SIM: An event-driven performance simulator for SMP

引用

2012 International Conference on Systems and Informatics, ICSAI 2012

作者： Zhang, Xin Tang, Yuhua Lin, Yufei Xu, Xinhai Guo, Xiaowei Ren, Xiaoguang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781467301992

Performance prediction for the high performance computer system is of great importance for designing, implementing, and optimizing system. As a widely used technique for predicting performance, simulation method attracts more and more attention from the research community. Based on analyzing the problems in the current performance simulation techniques, we present a key idea of the performance simulator for SMP system based on event-driven. We propose the framework of SMP-SIM and implement it based on MPICH2. The simulation results show that, our simulation technique has the advantages of high accuracy and simulation performance. © 2012 IEEE.

关键词： Forecasting

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Checkpoint selection in fault recovery based on byzantine fault model 4th

Checkpoint selection in fault recovery based on byzantine fa...

引用

4th International Conference on Computational Intelligence and Communication Networks, CICN 2012

作者： Xu, Xinhai Lin, Yufei National Laboratory for Parallel and Distributed Processing Computer School National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781467329811

Nowadays, with the growth of the performance, the reliability problem of supercomputers becomes more and more serious. In order to complete an application with small fault recovery overhead, Checkpoint/Restart(C/R) methods are widely used. So far, the mainstream C/R methods are either based on Fail-Stop fault model or making the system(or program) do error detection before storing checkpoints, so they can ensure the correctness of every checkpoint. However, the faults occurring in the systems in real world are more accordant with the Byzantine fault model, and in order to pursue the higher practical performance, neither the system nor the program implements any fault detection mechanism. Consequently, there may be errors in the checkpoints. This paper studies the checkpoint selection problem that which checkpoint should be selected as the object of rolling back after system occurring failure, based on Byzantine fault model. We design a framework of checkpoint selection, and then, based on it, propose three checkpoint selection strategies: conservative strategy, aggressive strategy and statistical strategy. The simulation results show that: the conservative strategy shows its superiority when the error latent period is long, while the aggressive strategy behaves oppositely, the statistical strategy has a stable efficiency, only 50% more overhead compared to the ideal checkpoint selection when the checkpoint period is the half of mean time between faults. © 2012 IEEE.

关键词： Fault tolerance

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CANSE: A churn adaptive approach to network size estimation

CANSE: A churn adaptive approach to network size estimation

引用

16th IEEE International Conference on parallel and distributed Systems, ICPADS 2010

作者： Ma, Xing-Kong Wang, Yi-Jie Zheng, Zhong National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769543079

Network size is one of the fundamental information of distributed applications. The approach to estimate network size must feature both high accuracy and robustness in order to adapt to the dynamic environment in different topologies. However, existing approaches fail to guarantee accuracy and robustness simultaneously in dynamic topologies due to the randomness of nodes sampled. In this paper, we propose a churn adaptive approach to network size estimation - CANSE, which collects closest nodes in identification to each node's identification by sampling nodes periodically. Each node collects closest identifications by two schemes. One scheme is sampling random nodes from random walks along the topology. The other one is exchanging the closest identifications with other nodes. Finally, each node calculates the average spacing of the closest identifications collected to estimate network size. Compared with existing approaches, extensive experiments show that CANSE provides accurate estimation values quickly in various dynamic topologies. © 2010 IEEE.

关键词： Topology

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Program optimization of array-intensive SPEC2k benchmarks on multithreaded GPU using CUDA and brook+

Program optimization of array-intensive SPEC2k benchmarks on...

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15th International Conference on parallel and distributed Systems, ICPADS '09

作者： Wang, Guibin Tang, Tao Fang, Xudong Ren, Xiaoguang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9780769539003

Graphic processing Unit (GPU), with many lightweight data-parallel cores, can provide substantial parallel computing power to accelerate several general purpose applications. Both the AMD and NVIDIA corps provide their specific high performance GPUs and software platforms. As the floating-point computing capacity increases continually, the problem of "memory-wall" becomes more serious, especially for array-intensive applications. In this paper, we optimize and implement two SPEC2k benchmarks mgrid and swim on multithreaded GPU using CUDA and Brook+. In order to reduce the pressure on off-hip memory, we make use of data locality in multi-level memory hierarchies and hide long memory access latency via double-buffers. To balance inter-thread parallelism and intra-hread locality, we further tune thread granularity for each kernel and empirically study the best equilibrium point for this problem. Flow control instruction can significantly impact the effective instruction throughput. Oriented to this problem, we introduce a diverge elimination technology to convert condition expression into computing operation. Through all the optimizations, we gain the speedup of 10x-34x to the CPU implementation on the GPUs of AMD and NVIDIA respectively. Finally, we summarize and compares the GPUs from AMD and NVIDIA in hardware and software. © 2009 IEEE.

关键词： Graphics processing unit

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Power analysis and optimizations for GPU architecture using a power simulator

Power analysis and optimizations for GPU architecture using ...

引用

2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010

作者： Wang, Guibin National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781424465408

As one of the most popular many-core architecture, GPUs have illustrated power in many non-graphic applications. Traditional general purpose computing systems tend to integrate GPU as the co-processor to accelerate parallel computing tasks. Meanwhile, GPUs also result in high power consumption, which accounts for a large proportion of the total system power consumption. In this paper, we mainly focus on the power analysis and optimizations for GPU architecture. The main contributions of this paper are: firstly, we establish a GPU power reserach platform, which is extended from an existing GPU simulator with several power models;secondly, we validate that, as the gap between shader core and memory speed becomes larger and larger, integrating more shader cores or enhancing running frequencies may not bring better performance, but results in higher energy consumption;thirdly, we show that traditional power optimization methods for CPUs, such as dynamic frequency scaling and concurrencythrottling, could be effectively applied on GPU architectures for better power efficiency, especially for memory-intensive applications. © 2010 IEEE.

关键词： Simulators

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Invalid pointer dereferences detection for CPS software based on extended pointer structures

Invalid pointer dereferences detection for CPS software base...

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2012 IEEE 6th International Conference on Software Security and Reliability Companion, SERE-C 2012

作者： Dong, Longming Dong, Wei Chen, Liqian National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769547435

Invalid pointer dereferences, such as null pointer dereferences, dangling pointer dereferences and double frees, are a prevalent source of software bugs in CPS software, due to flexible dereferencing pointers along various pointer fields. Existing tools have high overhead or are incomplete, thereby limiting their efficiency in checking the kind of CPS software with shared and mutable memory. In this paper, we present a novel extended pointer structure for detecting all invalid pointer dereferences in this kind of CPS software. We propose an invalid pointer dereferences detection algorithm based on the uniform transformation of abstract heap states. Experimental evaluation about a set of large C benchmark programs shows that the proposed approach is sufficiently efficient in detecting invalid pointer dereferences of CPS software with shared and mutable memory. © 2012 IEEE.

关键词： Program debugging

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