2 citations · 3 across the 5 of their papers we have counts for
8 papers
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models
Cheng Chen, Christina Giannoula, Andreas Moshovos
Diffusion models are emerging models that generate images by iteratively denoising random Gaussian noise using deep neural networks. These models typically exhibit high computation…
Evaluating the Effectiveness of Microarchitectural Hardware Fault Detection for Application-Specific Requirements
Konstantinos-Nikolaos Papadopoulos, Christina Giannoula, Nikolaos-Charalampos Papadopoulos +3
Reliability is necessary in safety-critical applications spanning numerous domains. Conventional hardware-based fault tolerance techniques, such as component redundancy, ensure rel…
SmartPQ: An Adaptive Concurrent Priority Queue for NUMA Architectures
Christina Giannoula, Foteini Strati, Dimitrios Siakavaras +2
Concurrent priority queues are widely used in important workloads, such as graph applications and discrete event simulations. However, designing scalable concurrent priority queues…
Proteus: Preserving Model Confidentiality during Graph Optimizations
Yubo Gao, Maryam Haghifam, Christina Giannoula +3
Deep learning (DL) models have revolutionized numerous domains, yet optimizing them for computational efficiency remains a challenging endeavor. Development of new DL models typica…
The Synergy of Speculative Decoding and Batching in Serving Large Language Models
Qidong Su, Christina Giannoula, Gennady Pekhimenko
Large Language Models (LLMs) like GPT are state-of-the-art text generation models that provide significant assistance in daily routines. However, LLM execution is inherently sequen…
Architectural Support for Efficient Data Movement in Disaggregated Systems
Christina Giannoula, Kailong Huang, Jonathan Tang +4
Resource disaggregation offers a cost effective solution to resource scaling, utilization, and failure-handling in data centers by physically separating hardware devices in a serve…