A comprehensive survey on trustworthy recommender systems
As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …
people make appropriate decisions in an effective and efficient way, by providing …
Recent developments in low-power AI accelerators: A survey
As machine learning and AI continue to rapidly develop, and with the ever-closer end of
Moore's law, new avenues and novel ideas in architecture design are being created and …
Moore's law, new avenues and novel ideas in architecture design are being created and …
Dimm-link: Enabling efficient inter-dimm communication for near-memory processing
DIMM-based near-memory processing architectures (DIMM-NMP) have received growing
interest from both academia and industry. They have the advantages of large memory …
interest from both academia and industry. They have the advantages of large memory …
Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology
Processing-in-memory (PIM) has been explored for decades by computer architects, yet it
has never seen the light of day in real-world products due to its high design overheads and …
has never seen the light of day in real-world products due to its high design overheads and …
Metanmp: Leveraging cartesian-like product to accelerate hgnns with near-memory processing
Heterogeneous graph neural networks (HGNNs) based on metapath exhibit powerful
capturing of rich structural and semantic information in the heterogeneous graph. HGNNs …
capturing of rich structural and semantic information in the heterogeneous graph. HGNNs …
MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data …
Processing-using-DRAM (PUD) is a processing-in-memory (PIM) approach that uses a
DRAM array's massive internal parallelism to execute very-wide (eg, 16,384-262,144-bit …
DRAM array's massive internal parallelism to execute very-wide (eg, 16,384-262,144-bit …
A survey of memory-centric energy efficient computer architecture
C Zhang, H Sun, S Li, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Energy efficient architecture is essential to improve both the performance and power
consumption of a computer system. However, modern computers suffer from the severe …
consumption of a computer system. However, modern computers suffer from the severe …
Abndp: Co-optimizing data access and load balance in near-data processing
Near-Data Processing (NDP) has been a promising architectural paradigm to address the
memory wall challenge for data-intensive applications. Typical NDP systems based on 3D …
memory wall challenge for data-intensive applications. Typical NDP systems based on 3D …
NDPBridge: Enabling Cross-Bank Coordination in Near-DRAM-Bank Processing Architectures
Various near-data processing (NDP) designs have been proposed to alleviate the memory
wall challenge for data-intensive applications. Among them, near-DRAM-bank NDP …
wall challenge for data-intensive applications. Among them, near-DRAM-bank NDP …
Graphset: High performance graph mining through equivalent set transformations
Graph mining is of critical use in a number of fields such as social networks, knowledge
graphs, and fraud detection. As an NP-complete problem, accelerating computation …
graphs, and fraud detection. As an NP-complete problem, accelerating computation …