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DaeMon: Architectural Support for Efficient Data Movement in Fully Disaggregated Systems., , , , , , and . Proc. ACM Meas. Anal. Comput. Syst., 7 (1): 16:1-16:36 (March 2023)Minuet: Accelerating 3D Sparse Convolutions on GPUs., , , , , and . CoRR, (2024)An adaptive concurrent priority queue for NUMA architectures., , , , and . CF, page 135-144. ACM, (2019)SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations., , , , , , , , and . CoRR, (2019)Combining HTM with RCU to Speed Up Graph Coloring on Multicore Platforms., , and . ISC, volume 10876 of Lecture Notes in Computer Science, page 350-369. Springer, (2018)SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems., , , , , and . CoRR, (2022)DaeMon: Architectural Support for Efficient Data Movement in Disaggregated Systems., , , , , , and . CoRR, (2023)Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems., , , , , and . CoRR, (2022)SparseP: Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures., , , , , and . ISVLSI, page 288-291. IEEE, (2022)Accelerating Time Series Analysis via Processing using Non-Volatile Memories., , , , , , , , and . CoRR, (2022)