5 citations · 5 across the 5 of their papers we have counts for
5 papers
Optimizing Attention on GPUs by Exploiting GPU Architectural NUMA Effects
Mansi Choudhary, Karthik Sangaiah, Sonali Singh +3
The rise of disaggregated AI GPUs has exposed a critical bottleneck in large-scale attention workloads: non-uniform memory access (NUMA). As multi-chiplet designs become the norm f…
A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
Jiaao Ma, Ceyu Xu, Lisa Wu Wills
In the era of cloud computing, privacy-preserving computation offloading is crucial for safeguarding sensitive data. Fully Homomorphic Encryption (FHE) enables secure processing of…
VcLLM: Video Codecs are Secretly Tensor Codecs
Ceyu Xu, Yongji Wu, Xinyu Yang +4
As the parameter size of large language models (LLMs) continues to expand, the need for a large memory footprint and high communication bandwidth have become significant bottleneck…
MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design
Wenji Fang, Yao Lu, Shang Liu +5
In modern VLSI design flow, the register-transfer level (RTL) stage is a critical point, where designers define precise design behavior with hardware description languages (HDLs) l…
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models
Phyllis Ang, Bhuwan Dhingra, Lisa Wu Wills
With many real-world applications of Natural Language Processing (NLP) comprising of long texts, there has been a rise in NLP benchmarks that measure the accuracy of models that ca…