Steven Raasch

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 6

Top Topics

Machine Learning

Parallel Implementation

Top Venues

Publications

Shrikanth Ganapathy, John Kalamatianos, Bradford M. Beckmann, Steven Raasch, Lukasz G. Szafaryn
Killi: Runtime Fault Classification to Deploy Low Voltage Caches without MBIST. HPCA (2019)
Mark Wilkening, Fritz Previlon, David R. Kaeli, Sudhanva Gurumurthi, Steven Raasch, Vilas Sridharan
Evaluating the Resilience of Parallel Applications. DFT (2018)
Shrikanth Ganapathy, John Kalamatianos, Keith Kasprak, Steven Raasch
On Characterizing Near-Threshold SRAM Failures in FinFET Technology. DAC (2017)
Thiruvengadam Vijayaraghavan, Yasuko Eckert, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Bradford M. Beckmann, William C. Brantley, Joseph L. Greathouse, Wei Huang, Arun Karunanithi, Onur Kayiran, Mitesh R. Meswani, Indrani Paul, Matthew Poremba, Steven Raasch, Steven K. Reinhardt, Greg Sadowski, Vilas Sridharan
Design and Analysis of an APU for Exascale Computing. HPCA (2017)
Manish Gupta, Daniel Lowell, John Kalamatianos, Steven Raasch, Vilas Sridharan, Dean M. Tullsen, Rajesh K. Gupta
Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading. DAC (2017)
Elisabeth Baseman, Nathan DeBardeleben, Kurt B. Ferreira, Scott Levy, Steven Raasch, Vilas Sridharan, Taniya Siddiqua, Qiang Guan
Improving DRAM Fault Characterization through Machine Learning. DSN Workshops (2016)
Steven Raasch, Arijit Biswas, Jon Stephan, Paul Racunas, Joel S. Emer
A fast and accurate analytical technique to compute the AVF of sequential bits in a processor. MICRO (2015)