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Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks.

, , , , , , , , , , и . ASPLOS, стр. 316-331. ACM, (2018)

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Ky ng Kim

Die Artikelstruktur in passiven zweisprachigen Wörterbüchern Deutsch-Koreanisch: Konzeption zur Erstellung eines zweisprachigen Lernerwörterbuchs Deutsch-Koreanisch. Uni Heidelberg, (2008)

Bongcheol Kim

Kim Gerber

Youngsang Kim

Ryong Kim

 

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μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization., , , , и . EuroSys, стр. 45:1-45:15. ACM, (2019)Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks., , , , , , , , , и 1 other автор(ы). ASPLOS, стр. 316-331. ACM, (2018)GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution., , , , , и . MICRO, стр. 574-586. ACM, (2017)Occamy: Memory-efficient GPU Compiler for DNN Inference., , , , , , и . DAC, стр. 1-6. IEEE, (2023)AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping., , , , , и . PPoPP, стр. 431-444. ACM, (2024)SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs., , , , , , , и . IPDPS, стр. 728-738. IEEE, (2022)GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management., , , и . HPCA, стр. 546-557. IEEE Computer Society, (2014)It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher., , , , , , и . CVPR, стр. 8301-8311. IEEE, (2022)Pipe-BD: Pipelined Parallel Blockwise Distillation., , , , , и . DATE, стр. 1-6. IEEE, (2023)Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples., , , , и . NeurIPS, стр. 14835-14847. (2021)