People

Mark Stephenson

Mark Stephenson joined NVIDIA in February 2014.  He is primarily interested in program analysis, code generation, and architecture.  Before joining NVIDIA, Mark spent time at IBM Research, and the Massachusetts Institute of Technology, where he earned his PhD in 2006.

See Mark's external page for additional information.

Research Area(s)
Computer Architecture
Computer Graphics
Programming Languages, Systems and Tools
Main Field of Interest
Computer Architecture

Publications

2023

cuCatch: A Debugging Tool for Efficiently Catching Memory Safety Violations in CUDA Applications
Mohamed Tarek Ibn Ziad, Sana Damani, Aamer Jaleel, Stephen W. Keckler, Mark Stephenson
ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)

2022

GPU Subwarp Interleaving
Sana Damani, Mark Stephenson, Ram Rangan, Daniel Johnson, Rishkul Kulkarni, Steve Keckler
International Symposium on High-Performance Computer Architecture (HPCA)

2021

Cooperative Profile Guided Optimization
Mark Stephenson, Ram Rangan, Steve Keckler
Computer Graphics Forum (Proceedings of High Performance Graphics)
PGZ: Automatic Zero-Value Code Specialization
Mark Stephenson, Ram Rangan
International Conference on Compiler Construction (CC)

2020

Zeroploit: Exploiting Zero Valued Operands in Interactive Gaming Applications
Ram Rangan, Mark Stephenson, Aditya Ukarande, Shyam Murthy, Virat Agarwal, Marc Blackstein
ACM Transactions on Architecture and Code Optimization (TACO)
Estimating Silent Data Corruption Rates Using a Two-Level Model
Siva Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip Shirvani, Paul Racunas, Joel Emer, Steve Keckler
arXiv
Speculative Reconvergence for Improved SIMT Efficiency
Sana Damani, Daniel Johnson, Mark Stephenson, Eddie Yan, Olivier Giroux, Michael McKeown, Steve Keckler
International Symposium on Code Generation and Optimization

2019

NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs
Oreste Villa, Mark Stephenson, David Nellans, Steve Keckler
International Symposium on Microarchitecture (MICRO)

2018

Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs
Neal Crago, Mark Stephenson, Steve Keckler
ACM Transactions on Architecture and Code Optimization (TACO)
Software-Directed Techniques for Improved GPU Register File Utilization
Dani Voitsechov, Arslan Zulfiqar, Mark Stephenson, Mark Gebhart, Steve Keckler
ACM Transactions on Architecture and Code Optimization (TACO)

2017

SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation
Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer
International Symposium on Performance Analysis of Systems and Software (ISPASS)

2016

Automatically Exploiting Implicit Pipeline Parallelism from Multiple Dependent Kernels for GPUs
Gwangsun Kim, Jiyun Jeong, John Kim, Mark Stephenson
International Conference on Parallel Architectures and Compilation (PACT)
Towards High Performance Paged Memory for GPUs
Tianhao Zheng, David Nellans, Arslan Zulfiqar, Mark Stephenson, Steve Keckler
International Symposium on High Performance Computer Architecture (HPCA)

2015

Flexible Software Profiling of GPU Architectures
Mark Stephenson, Siva Hari, Yunsup Lee, Eiman Ebrahimi, Daniel Johnson, David Nellans, Mike O'Connor, Steve Keckler
International Symposium on Computer Architecture (ISCA)
SASSIFI: Evaluating Resilience of GPU Applications
Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer
Workshop on Silicon Errors in Logic - System Effects (SELSE-11)
Page Placement Strategies for GPUs within Heterogeneous Memory Systems
Neha Agarwal, David Nellans, Mark Stephenson, Mike O'Connor, Steve Keckler
International Conference on Architectural Support for Programming Languages and…

2014

Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures
Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Steve Keckler, Krste Asanovic
International Symposium on Microarchitecture (MICRO)