A Step towards Energy Efficient Computing: Redesigning a Hydrodynamic Application on CPU-GPU

Dong, Tingxing; Dobrev, Veselin; Kolev, Tzanio V.; Rieben, Robert N.; Tomov, Stanimire; Dongarra, Jack

doi:10.1109/ipdps.2014.103

Cited by 45 publications

(25 citation statements)

References 14 publications

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“…Recent work has shown that the use of Graphics Processing Units (GPU) acceleration can substantially increase parallel performance of algorithms for antenna synthesis [28] with regard to CPU acceleration, and even to improve the performance per watt [45].…”

Section: B Computing Times and Memory Usagementioning

confidence: 99%

Efficient Crosspolar Optimization of Shaped-Beam Dual-Polarized Reflectarrays Using Full- Wave Analysis for the Antenna Element Characterization

Prado

Arrebola

Pino

et al. 2017

IEEE Trans. Antennas Propagat.

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A method for the optimization of the crosspolar component of dual-polarized reflectarrays using full-wave analysis at the element level is described and demonstrated. The reflectarray full-wave analysis is based on local periodicity and integrated within the optimization process in order to accurately characterize the crosspolar far field. The proposed method is based on the generalized Intersection Approach framework using the Levenberg-Marquardt Algorithm as backward projector, and the employed full-wave analysis is based on the Method of Moments assuming local periodicity (MoM-LP). Several strategies to accelerate the computations are exploited, such as the parallelization of all the algorithm building blocks. To minimize the impact of MoM-LP in the optimization process, a strategy to reduce the number of MoM-LP calls is described, further accelerating the algorithm. Moreover, the convergence is improved by working with the squared field amplitude, alleviating the trap problem of local optimizers. This method allows to optimize the crosspolar component in the whole visible region or only in the coverage zone to facilitate the convergence, reduce computing time and memory usage. Two test cases are provided to validate the technique, one with an isoflux pattern for global Earth coverage and another with European coverage for DBS application.

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Section: B Computing Times and Memory Usagementioning

confidence: 99%

Efficient Crosspolar Optimization of Shaped-Beam Dual-Polarized Reflectarrays Using Full- Wave Analysis for the Antenna Element Characterization

Prado

Arrebola

Pino

et al. 2017

IEEE Trans. Antennas Propagat.

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“…(15) In [11], the authors investigate the relationship between the flops number and the corresponding consumed power denoted Flops per Watt (F lops/W att). It is then possible to measure the equivalent consumed power in Watts.…”

Section: Computational Cost Comparison Of Ls and Ls-df Algorithmsmentioning

confidence: 99%

Toward green communications using semi-blind channel estimation

Ladaycia

Mokraoui

Abed-Meraim

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In most Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, channel estimation is required for equalization and symbol detection. It often exploits the specified pilot symbols consuming not only a large part of the throughput but also significant power resources. This paper quantifies the theoretical maximum power reduction of the transmitted pilots when semiblind channel estimator is deployed while ensuring the same pilot-based channel estimation performance for BPSK/QPSK data models and a block-type pilot arrangement as specified in the IEEE 802.11n standard. A Least Square Decision Feedback (LS-DF) semi-blind channel estimator is then considered showing that a reduction of 76% of the pilot's power is obtained compared to the LS pilot-based estimator for the same channel estimation performance.

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“…Their study is based on the active memory cube system, a novel heterogeneous computing system, substantially different from our test platforms. Dong et al in [20] made a custom implementation of linear algebra kernels for GPUs to obtain ≈10% power savings for a hydrometric kernel. In [21], the authors presented a micro-architectural technique to approximate load values on load misses so as to reduce the cost of memory accesses.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficiency Effects of Vectorization in Data Reuse Transformations for Many-Core Processors—A Case Study †

Hasib

Natvig

Kjeldsberg

et al. 2017

JLPEA

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Abstract:Thread-level and data-level parallel architectures have become the design of choice in many of today's energy-efficient computing systems. However, these architectures put substantially higher requirements on the memory subsystem than scalar architectures, making memory latency and bandwidth critical in their overall efficiency. Data reuse exploration aims at reducing the pressure on the memory subsystem by exploiting the temporal locality in data accesses. In this paper, we investigate the effects on performance and energy from a data reuse methodology combined with parallelization and vectorization in multi-and many-core processors. As a test case, a full-search motion estimation kernel is evaluated on Intel R Core TM i7-4700K (Haswell) and i7-2600K (Sandy Bridge) multi-core processors, as well as on an Intel R Xeon Phi TM many-core processor (Knights Landing) with Streaming Single Instruction Multiple Data (SIMD) Extensions (SSE) and Advanced Vector Extensions (AVX) instruction sets. Results using a single-threaded execution on the Haswell and Sandy Bridge systems show that performance and EDP (Energy Delay Product) can be improved through data reuse transformations on the scalar code by a factor of ≈3× and ≈6×, respectively. Compared to scalar code without data reuse optimization, the SSE/AVX2 version achieves ≈10×/17× better performance and ≈92×/307× better EDP, respectively. These results can be improved by 10% to 15% using data reuse techniques. Finally, the most optimized version using data reuse and AVX512 achieves a speedup of ≈35× and an EDP improvement of ≈1192× on the Xeon Phi system. While single-threaded execution serves as a common reference point for all architectures to analyze the effects of data reuse on both scalar and vector codes, scalability with thread count is also discussed in the paper.

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A Step towards Energy Efficient Computing: Redesigning a Hydrodynamic Application on CPU-GPU

Cited by 45 publications

References 14 publications

Efficient Crosspolar Optimization of Shaped-Beam Dual-Polarized Reflectarrays Using Full- Wave Analysis for the Antenna Element Characterization

Efficient Crosspolar Optimization of Shaped-Beam Dual-Polarized Reflectarrays Using Full- Wave Analysis for the Antenna Element Characterization

Toward green communications using semi-blind channel estimation

Energy Efficiency Effects of Vectorization in Data Reuse Transformations for Many-Core Processors—A Case Study †

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