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ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs., , , , и . CoRR, (2020)Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving., , , , , и . MICRO, стр. 885-897. ACM, (2021)Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System., , , , , , , , , и . RTAS, стр. 293-296. IEEE, (2022)Q-VR: system-level design for future mobile collaborative virtual reality., , , , , и . ASPLOS, стр. 587-599. ACM, (2021)SMT-Aware Instantaneous Footprint Optimization., , и . HPDC, стр. 267-279. ACM, (2016)TEA: A General-Purpose Temporal Graph Random Walk Engine., , , , , , , , , и . EuroSys, стр. 182-198. ACM, (2023)ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning., , , , , , , , , и 1 other автор(ы). ICS, стр. 266-278. ACM, (2021)Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity., , , , , , , , и . CoRR, (2023)Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs., , , , , , , , , и 3 other автор(ы). USENIX ATC, стр. 699-713. USENIX Association, (2024)AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures., , , , , , , , , и 2 other автор(ы). ASPLOS, стр. 359-373. ACM, (2022)