39 citations · 51 across the 13 of their papers we have counts for
7 papers · 1 filter
QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference
Xiangchen Li, Saeid Ghafouri, Bo Ji +3
As machine learning inferences increasingly move to edge devices, adapting to diverse computational capabilities, hardware, and memory constraints becomes more critical. Instead of…
SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving
Xiangchen Li, Dimitrios Spatharakis, Saeid Ghafouri +5
The growing gap between the increasing complexity of large language models (LLMs) and the limited computational budgets of edge devices poses a key challenge for efficient on-devic…
MS-BioGraphs: Sequence Similarity Graph Datasets
Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck +2
Progress in High-Performance Computing in general, and High-Performance Graph Processing in particular, is highly dependent on the availability of publicly-accessible, relevant, an…
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge
JunKyu Lee, Blesson Varghese, Roger Woods +1
Real-time video analytics on the edge is challenging as the computationally constrained resources typically cannot analyse video streams at full fidelity and frame rate, which resu…
Workload-Aware DRAM Error Prediction using Machine Learning
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck +2
The aggressive scaling of technology may have helped to meet the growing demand for higher memory capacity and density, but has also made DRAM cells more prone to errors. Such a re…
VEBO: A Vertex- and Edge-Balanced Ordering Heuristic to Load Balance Parallel Graph Processing
Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos
Graph partitioning drives graph processing in distributed, disk-based and NUMA-aware systems. A commonly used partitioning goal is to balance the number of edges per partition in c…
Energy Optimization of Memory Intensive Parallel workloads
Chhaya Trehan, Hans Vandierendonck, Georgios Karakonstantis +1
Energy consumption is an important concern in modern multicore processors. The energy consumed during the execution of an application can be minimized by tuning the hardware state…