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Out of Hand for Hardware? Within Reach for Software!

, , , , , и . HotOS, стр. 30-37. ACM, (2023)

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Joao Júlio Vitral Amaro

Pau Amaro-Seoane

Santos Amaro

Enzo Amarotico

Leonor Amaro Cano

 

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TABLA: A unified template-based framework for accelerating statistical machine learning., , , , , , и . HPCA, стр. 14-26. IEEE Computer Society, (2016)From high-level deep neural models to FPGAs., , , , , , , и . MICRO, стр. 17:1-17:12. IEEE Computer Society, (2016)Efficient Microsecond-scale Blind Scheduling with Tiny Quanta., , , , , , и . ASPLOS (2), стр. 305-319. ACM, (2024)FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud., , , , , , , , , и 6 other автор(ы). IEEE Micro, 39 (3): 56-65 (2019)Innovative Locking in AmI: Efficiently Removing Instabilities in Multi-agent Systems., , , , , и . Intelligent Environments, стр. 135-141. IEEE Computer Society, (2011)Memory disaggregation: why now and what are the challenges., , , , , и . ACM SIGOPS Oper. Syst. Rev., 57 (1): 38-46 (2023)Out of Hand for Hardware? Within Reach for Software!, , , , , и . HotOS, стр. 30-37. ACM, (2023)Can far memory improve job throughput?, , , , , , , и . EuroSys, стр. 14:1-14:16. ACM, (2020)3PO: Programmed Far-Memory Prefetching for Oblivious Applications., , , , , , , и . CoRR, (2022)FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud., , , , , , , , , и 6 other автор(ы). ISCA, стр. 29-42. IEEE Computer Society, (2018)