Reference health
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems
40/40 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
17 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 40 checked references that resolve
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Overview of the Architecture, Circuit Design, and Physical Implementation of a First-Generation Cell Processor
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Towards completely fair scheduling on asymmetric single-ISA multicore processors
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A survey on software methods to improve the energy efficiency of parallel computing
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Bi-Objective Optimization of Data-Parallel Applications on Homogeneous Multicore Clusters for Performance and Energy
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Energy-Efficient Runtime Management of Heterogeneous Multicores using Online Projection
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Modeling energy-performance tradeoffs in ARM big.LITTLE architectures
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Power--Aware Performance Adaptation of Concurrent Applications in Heterogeneous Many-Core Systems
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Validity of the single processor approach to achieving large scale computing capabilities
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Extending Amdahl's Law for Energy-Efficient Computing in the Many-Core Era
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Analysis of dynamic voltage/frequency scaling in chip-multiprocessors
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Utilization-aware load balancing for the energy efficient operation of the big.LITTLE processor
resolves10.1109/VLSI-SoC.2019.8920384
Performance and Energy Efficiency Trade-Offs in Single-ISA Heterogeneous Multi-Processing for Parallel Applications
resolves10.1016/j.micpro.2015.05.009
Optimal processor dynamic-energy reduction for parallel workloads on heterogeneous multi-core architectures
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Performance, Power Efficiency and Scalability of Asymmetric Cluster Chip Multiprocessors
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Modeling power and energy of the task-parallel Cholesky factorization on multicore processors
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An Architectural Characterization Study of Data Mining and Bioinformatics Workloads
The 17 references without a DOI — listed, not checked
no DOI — not checkedCorp, A (2019, April 06). Available online: https://www.arm.com/products/processors/technologies/biglittleprocessing.php.
no DOI — not checkedA Reconfiguration Algorithm for Power-Aware Parallel Applications
no DOI — not checkedEndrei, M., Jin, C., Dinh, M.N., Abramson, D., Poxon, H., DeRose, L., and de Supinski, B.R. (2017, January 12–15). A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs. Proceedings of the Parallel Computing is Everywhere–International Conference on Parallel Computing, ParCo 2017, Ologna, Italy.
no DOI — not checkedMulti objective optimization of HPC kernels for performance, power, and energy
no DOI — not checkedSuleiman, D., Ibrahim, M., and Hamarash, I. (2005, January 20–21). Dynamic voltage frequency scaling (DVFS) for microprocessors power and energy reduction. Proceedings of the 4th International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2015), Shenzhen, China.
no DOI — not checkedTang, A., Sethumadhavan, S., Stolfo, S., Tang, A., and Stolfo, S. (2017, January 16–18). CLKSCREW: Exposing the Perils of Security- Oblivious Energy Management. Proceedings of the 26th USENIX Security Symposium, Vancouver, BC, Canada.
no DOI — not checked(2019, April 12). ODROID-XU3 - Hardkernel. Available online: https://www.hardkernel.com/shop/odroid-xu3/.
no DOI — not checked(2019, April 15). Cpuset. Available online: https://www.kernel.org/doc/Documentation/cgroup-v1/cpusets.txt.
no DOI — not checked(2019, April 15). Stress-ng. Available online: https://github.com/ColinIanKing/stress-ng.
no DOI — not checkedBienia, C. (2011). Benchmarking Modern Multiprocessors. [Ph.D. Thesis, Princeton University].
no DOI — not checkedSuite, P.T. (2019, April 17). Open-Source, Automated Benchmarking. Available online: https://www.phoronix-test-suite.com/.
no DOI — not checked(2019, April 15). OpenMP. Available online: www.openmp.org.
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no DOI — not checkedVivek Kale (2019, October 28). Loop Scheduling in OpenMP. Available online: https://www.openmp.org/wp-content/uploads/SC17-Kale-LoopSchedforOMP_BoothTalk.pdf.
no DOI — not checkedParallelization of particle filter algorithms
no DOI — not checkedChe, S., Sheaffer, J.W., Boyer, M., Szafaryn, L.G., Wang, L., and Skadron, K. (December, January I). A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads. Proceedings of the IEEE International Symposium on Workload Characterization, IISWC’10, Atlanta, GA, USA.
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