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In-Hardware Moving Compute to Data Model to Accelerate Thread Synchronization on Large Multicores.

, , , и . IEEE Micro, 40 (1): 83-92 (2020)

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Ahmad Ahmad

Ahmad Hassan Ahmad

Ahmad Ahmad-Kassem

Ahmad Trad

Significance of the third hypervariable region of the antibody heavy (H) chain for antigen specificity and expression of idiotypes during the thymus dependent immune response. Uni Kiel, (2009)

Mahmoud Mohamed Mahmoud Ahmad

 

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GPU concurrency choices in graph analytics., и . IISWC, стр. 178-187. IEEE Computer Society, (2016)Efficient Situational Scheduling of Graph Workloads on Single-Chip Multicores and GPUs., , и . IEEE Micro, 37 (1): 30-40 (2017)Exploring accelerator and parallel graph algorithmic choices for temporal graphs., , и . PMAM@PPoPP, стр. 7:1-7:10. ACM, (2020)M-MAP: Multi-factor memory authentication for secure embedded processors., , , , , , , и . ICCD, стр. 471-474. IEEE Computer Society, (2015)Exploring the performance implications of memory safety primitives in many-core processors executing multi-threaded workloads., , , , и . HASP@ISCA, стр. 6:1-6:8. ACM, (2015)Accelerating Graph and Machine Learning Workloads Using a Shared Memory Multicore Architecture with Auxiliary Support for In-hardware Explicit Messaging., , , , , и . IPDPS, стр. 254-264. IEEE Computer Society, (2017)Efficient parallelization of path planning workload on single-chip shared-memory multicores., , и . HPEC, стр. 1-6. IEEE, (2015)Accelerating Synchronization in Graph Analytics Using Moving Compute to Data Model on Tilera TILE-Gx72., , , и . ICCD, стр. 496-505. IEEE Computer Society, (2018)GraphTuner: An Input Dependence Aware Loop Perforation Scheme for Efficient Execution of Approximated Graph Algorithms., , и . ICCD, стр. 201-208. IEEE Computer Society, (2017)Power & throughput optimized lifting architecture for Wavelet Packet Transform., , и . ISCAS, стр. 2205-2208. IEEE, (2014)