1 citations · 1 across the 7 of their papers we have counts for
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Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
Rakesh Nadig, Vamanan Arulchelvan, Mayank Kabra +9
Solid-state drives (SSDs) are well suited for near-data processing (NDP) because they: (1) store large application datasets, and (2) support three NDP paradigms: in-storage process…
NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System
Qingcai Jiang, Buxin Tu, Xiaoyu Hao +2
Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical systems. Previous wor…
NDPage: Efficient Address Translation for Near-Data Processing Architectures via Tailored Page Table
Qingcai Jiang, Buxin Tu, Hong An
Near-Data Processing (NDP) has been a promising architectural paradigm to address the memory wall problem for data-intensive applications. Practical implementation of NDP architect…
APIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader
Qingcai Jiang, Shaojie Tan, Junshi Chen +1
The performance gap between memory and processor has grown rapidly. Consequently, the energy and wall-clock time costs associated with moving data between the CPU and main memory p…