activity
20172023
most citedFocus: Querying Large Video Datasets with Low Latency and Low Cost

97 citations · 327 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.AR2018

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips

Kevin K. Chang, Abhijith Kashyap, Hasan Hassan +7

This article summarizes key results of our work on experimental characterization and analysis of latency variation and latency-reliability trade-offs in modern DRAM chips, which wa…

cs.DC2018

Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko +6

The application resource specification--a static specification of several parameters such as the number of threads and the scratchpad memory usage per thread block--forms a critica…

cs.DC2018

Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko +5

The application resource specification--a static specification of several parameters such as the number of threads and the scratchpad memory usage per thread block--forms a critica…

cs.AR2018★ 39 cited

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions

Saugata Ghose, Kevin Hsieh, Amirali Boroumand +2

Poor DRAM technology scaling over the course of many years has caused DRAM-based main memory to increasingly become a larger system bottleneck. A major reason for the bottleneck is…

cs.DB2018★ 97 cited

Focus: Querying Large Video Datasets with Low Latency and Low Cost

Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodik +4

Large volumes of videos are continuously recorded from cameras deployed for traffic control and surveillance with the goal of answering "after the fact" queries: identify video fra…