12 citations · 18 across the 11 of their papers we have counts for
12 papers
PixelFlow: Token-Level Workload Management for Efficient Distributed DiT Serving
Zhexiang Zhang, Minchen Yu, Yifan Sun +3
Online image generation with Diffusion Transformers (DiTs) must meet latency service-level objectives (SLOs) while using GPU resources efficiently. Existing systems improve GPU uti…
AGRICAM: A Track-Mounted Crop Pollination Monitoring Robot
Malika Nisal Ratnayake, Adel N. Toosi, James Cook +2
Insect pollination is critical for global food production, yet monitoring pollinators at commercial farm scale remains a challenge. Recent advances in computer vision and deep lear…
GraphFlash: Enabling Fast and Elastic Graph Processing on Serverless Infrastructure
Chen Zhao, Parsa Poorsistani, Mohammad Goudarzi +2
Graph processing systems are essential for analyzing large-scale data with complex relationships, yet most existing frameworks rely on statically provisioned clusters, resulting in…
PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving
Xu Bai, Muhammed Tawfiqul Islam, Chen Wang +1
Pipeline parallelism (PP) is widely used to partition layers of large language models (LLMs) across GPUs, enabling scalable inference for large models. However, existing systems re…
RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM Serving
Hossein Hosseini Kasnavieh, Gholamreza Haffari, Christopher Leckie +1
Multi-model LLM routing has emerged as an effective approach for reducing serving cost and latency while maintaining output quality by assigning each prompt to an appropriate model…
Multi-Objective Load Balancing for Heterogeneous Edge-Based Object Detection Systems
Daghash K. Alqahtani, Maria A. Rodriguez, Muhammad Aamir Cheema +1
The rapid proliferation of the Internet of Things (IoT) and smart applications has led to a surge in data generated by distributed sensing devices. Edge computing is a mainstream a…
Service Orchestration in the Computing Continuum: Structural Challenges and Vision
Boris Sedlak, Víctor Casamayor Pujol, Ildefons Magrans de Abril +3
The Computing Continuum (CC) integrates different layers of processing infrastructure, from Edge to Cloud, to optimize service quality through ubiquitous and reliable computation.…
IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
Hossein Hosseini Kasnavieh, Gholamreza Haffari, Chris Leckie +1
A major challenge for the operation of large language models (LLMs) is how to predict whether a specific LLM will produce sufficiently high-quality output for a given query. Existi…
IntentContinuum: Using LLMs to Support Intent-Based Computing Across the Compute Continuum
Negin Akbari, John Grundy, Aamir Cheema +1
The increasing proliferation of IoT devices and AI applications has created a demand for scalable and efficient computing solutions, particularly for applications requiring real-ti…
A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices
Daghash K. Alqahtani, Muhammad Aamir Cheema, Maria A. Rodriguez +1
Modern applications such as autonomous vehicles, intelligent surveillance, and smart city systems increasingly require object detection on resource-constrained edge devices. Yet, t…
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information
Linfeng Wen, Minxian Xu, Adel N. Toosi +1
Cloud native solutions are widely applied in various fields, placing higher demands on the efficient management and utilization of resource platforms. To achieve the efficiency, lo…
A motion-based compression algorithm for resource-constrained video camera traps
Malika Nisal Ratnayake, Lex Gallon, Adel N. Toosi +1
Field-captured video facilitates detailed studies of spatio-temporal aspects of animal locomotion, decision-making and environmental interactions including predator-prey relationsh…