1 citations · 1 across the 5 of their papers we have counts for
6 papers
Improving the Energy-Efficiency of the Code Generated by LLMs through Effective Prompting
Ritika Rekhi, Bing Zhang, Md Arman Islam +7
As AI-assisted programming becomes increasingly mainstream, the environmental impact of AI-generated software has emerged as an important consideration. This motivates evaluating L…
Evaluating the Energy-Efficiency of the Code Generated by LLMs
Md Arman Islam, Devi Varaprasad Jonnala, Ritika Rekhi +5
As the quality of code generated by Large Language Models (LLMs) improves, their adoption in the software industry for automated code generation continues to grow. Researchers prim…
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe +40
Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a…
Optimal Workload Placement on Multi-Instance GPUs
Bekir Turkkan, Pavankumar Murali, Pavithra Harsha +3
There is an urgent and pressing need to optimize usage of Graphical Processing Units (GPUs), which have arguably become one of the most expensive and sought after IT resources. To…
How to Evaluate Distributed Coordination Systems? -- A Survey and Analysis
Bekir Turkkan, Elvis Rodrigues, Tevfik Kosar +3
Coordination services and protocols are critical components of distributed systems and are essential for providing consistency, fault tolerance, and scalability. However, due to th…
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement Learning
Adithya Raman, Bekir Turkkan, Tevfik Kosar
Over the recent years, research and development in adaptive bitrate (ABR) algorithms for live video streaming have been successful in improving users' quality of experience (QoE) b…