Events
Computer Science Department ColloquiumBridging the Hardware-Software Gap: Practical Systems for a Heterogeneous World |
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Thursday, March 12, 2026, 10:30am - 12:00pm |
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Speaker: Rohan Kadekodi
Bio
Rohan Kadekodi is a postdoc at the University of Washington, advised by Prof. Baris Kasikci. His research focuses on building practical systems for heterogeneous hardware to meet the demands of modern storage, memory, and AI workloads. He received his PhD from the University of Texas at Austin, where he was advised by Prof. Vijay Chidambaram.
Location : CoRE 301
Committee:
Event Type: Computer Science Department Colloquium
Abstract: Modern applications demand high bandwidth, low latency, and large capacity simultaneously. In response, the hardware landscape has diversified to span GPUs, DRAM, CXL-attached memory, storage-class memory (SCM), and SSDs. However, software systems have remained monolithic, built on decades-old assumptions that target a single hardware technology. My research bridges this gap through a principled methodology: diagnose bottlenecks, decompose monolithic architectures, and accelerate only what is slow, yielding systems that are both high-performing and practical by preserving the stability of mature software while selectively exploiting new hardware where it matters most. In this talk, I will focus on two key aspects of this agenda: storage systems for new technologies and AI systems that leverage DRAM to alleviate GPU memory pressure. For storage, I will show how decomposing file system responsibilities enables near-device-speed performance on modern storage devices without sacrificing reliability. For AI systems, I will show how decomposing retrieval and inference pipelines enables efficient offloading of data and model weights from GPU to DRAM without sacrificing latency or accuracy. I will conclude with future directions on GPU resource management, where exponentially growing AI infrastructure spending meets strikingly low GPU cluster utilization, presenting opportunities for heterogeneity-aware systems from hyperscalers to the edge.
Organization:
Contact Professor Mridul Aanjaneya
Join Zoom Meeting
https://rutgers.zoom.us/j/2014444359?pwd=WW9ybFNCNVFrUWlycHowSHdNZjhzUT09
Meeting ID: 201 444 4359
Password: 550978