57 citations · 70 across the 16 of their papers we have counts for
5 papers · 1 filter
Context-Aware Mixture-of-Experts Inference on CXL-Enabled GPU-NDP Systems
Zehao Fan, Zhenyu Liu, Yunzhen Liu +4
Mixture-of-Experts (MoE) models scale large language models through conditional computation, but inference becomes memory-bound once expert weights exceed the capacity of GPU memor…
SparseST: Exploiting Data Sparsity in Spatiotemporal Modeling and Prediction
Junfeng Wu, Hadjer Benmeziane, Kaoutar El Maghraoui +2
Spatiotemporal data mining (STDM) has a wide range of applications in various complex physical systems (CPS), i.e., transportation, manufacturing, healthcare, etc. Among all the pr…
AnalogNAS-Bench: A NAS Benchmark for Analog In-Memory Computing
Aniss Bessalah, Hatem Mohamed Abdelmoumen, Karima Benatchba +1
Analog In-memory Computing (AIMC) has emerged as a highly efficient paradigm for accelerating Deep Neural Networks (DNNs), offering significant energy and latency benefits over con…
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan, Garrett Gagnon, Zhenyu Liu +1
Transformer-based models are the foundation of modern machine learning, but their execution, particularly during autoregressive decoding in large language models (LLMs), places sig…
Enhancing Downstream Analysis in Genome Sequencing: Species Classification While Basecalling
Riselda Kodra, Hadjer Benmeziane, Irem Boybat +1
The ability to quickly and accurately identify microbial species in a sample, known as metagenomic profiling, is critical across various fields, from healthcare to environmental sc…