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Evaluating the impacts of code-level performance tunings on power efficiency.

, , , , , , , , , , , and . IEEE BigData, page 362-369. IEEE Computer Society, (2016)

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Evaluating the impacts of code-level performance tunings on power efficiency., , , , , , , , , and 2 other author(s). IEEE BigData, page 362-369. IEEE Computer Society, (2016)NUMA-aware Scalable Graph Traversal on SGI UV Systems., , , , , and . HPGP@HPDC, page 19-26. ACM, (2016)NUMA-optimized parallel breadth-first search on multicore single-node system., , and . IEEE BigData, page 394-402. IEEE Computer Society, (2013)Hybrid BFS Approach Using Semi-external Memory., , , , , and . IPDPS Workshops, page 1698-1707. IEEE Computer Society, (2014)Fast and scalable NUMA-based thread parallel breadth-first search., and . HPCS, page 377-385. IEEE, (2015)NVM-based Hybrid BFS with memory efficient data structure., , , , and . IEEE BigData, page 529-538. IEEE Computer Society, (2014)Petascale General Solver for Semidefinite Programming Problems with Over Two Million Constraints., , , , , , and . IPDPS, page 1171-1180. IEEE Computer Society, (2014)Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual., , and . CoRR, (2024)Advanced Computing and Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers., , and . ICMS, volume 9725 of Lecture Notes in Computer Science, page 265-274. Springer, (2016)Fast and Energy-efficient Breadth-First Search on a Single NUMA System., , and . ISC, volume 8488 of Lecture Notes in Computer Science, page 365-381. Springer, (2014)