4 papers
MultModLM: A multi-modal benchmark for Large-Language Model based hardware schematic generation
Dhruv Kulkarni, Sai Manoj Pudukotai Dinkarrao
Recently, Large Language models (LLMs) find application in several fields. This extends to hardware definition and synthesis. However, most works at the intersection of LLMs and ha…
A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems
Beste Oztop, Dhruva Kulkarni, Zhengji Zhao +2
Efficient utilization of GPU resources and power has become critical with the growing demand for GPUs in high-performance computing (HPC). In this paper, we analyze GPU utilization…
Characterizing Production GPU Workloads using System-wide Telemetry Data
Onur Cankur, Brian Austin, Dhruva Kulkarni +1
GPGPU-accelerated clusters and supercomputers are central to modern high-performance computing (HPC). Over the past decade, these systems continue to expand, and GPUs now expose a…
A Case for Kolmogorov-Arnold Networks in Prefetching: Towards Low-Latency, Generalizable ML-Based Prefetchers
Dhruv Kulkarni, Bharat Bhammar, Henil Thaker +3
The memory wall problem arises due to the disparity between fast processors and slower memory, causing significant delays in data access, even more so on edge devices. Data prefetc…