Justin Gottschlich

WELCOME

We have an internship position available at Intel Labs for 2017 working with our anomaly detection and management team. Ideal candidates are PhD students with a strong background in machine learning and/or self-driving cars, with a specific emphasis on anomaly detection using deep neural networks. Please contact me (justin.gottschlich@intel.com) if you, or someone you know, may be interested.

I am a senior staff research scientist in the Parallel Computing Lab at Intel Labs.

I currently oversee a team of talented researchers exploring anomaly detection and management using deep neural networks in the domains of data centers and self-driving cars. I am also interested in simplifying programming models using machine learning. Please see this Intel/NSF solicitation for more details.

If you are a graduate student or professor that shares interest in these areas, please contact me at justin.gottschlich@intel.com or justin.gottschlich@gmail.com to discuss collaboration opportunities.

I was previously the director of game engineering at Machine Zone, where I briefly oversaw the engineering effort of MZ's hugely successful games Game of War and Mobile Strike.

I also hold an appointment as an adjunct professor at the University of Colorado-Boulder in the department of Electrical, Computer, and Energy Engineering where I run the neural network design course. For over fifteen years, I have run my own software company, Nodeka, LLC., of which I am the founder and CEO.

My CV can be found here.

    Recent Highlights

  • PACT 2015 Paper: "TSXProf: Profiling Hardware Transactions"
  • TRANSACT 2015: General Chair and Steering Committee Member
  • PACT 2014 Paper: "Invyswell: A Hybrid Transactional Memory for Haswell's Restricted Transactional Memory"
  • TRANSACT 2014: Program Chair
  • PACT 2013 Paper: "Concurrent Predicates: A Debugging Technique for Every Parallel Programmer"
  • HotPar 2013 Papers: "Using Elimination and Delegation to Implement a Scalable NUMA-Friendly Stack" and "But How Do We Really Debug Transactional Memory Programs?"
  • ISCA 2013 Paper: "QuickRec: Prototyping an Intel Architecture Extension for Record and Replay of Multithreaded Programs"
  • TRANSACT 2013: Application Track Chair
  • TRANSACT 2013 Paper: "Generic Programming Needs Transactional Memory"

Alumni

Irina Calciu (co-advisor), Ph.D., Brown University (Advisor: Maurice Herlihy)

Wenjia Ruan (committee member), Ph.D., Lehigh University (Advisor: Mike Spear)

SELECTED AND RECENT PUBLICATIONS

[2015]

TSXProf: Profiling Hardware Transactions (21% acceptance, 38/179)
Yujie Liu, Justin Gottschlich, Gilles Pokam, and Michael Spear
[The 24th International Conference on Parallel Architectures and Compilation Techniques (PACT), October 2015]

[2014]

Invyswell: A Hybrid Transactional Memory for Haswell's Restricted Transactional Memory (25% acceptance, 37/149)
Irina Calciu, Justin E. Gottschlich, Tatiana Shpeisman, Gilles Pokam, and Maurice Herlihy
[The 23rd International Conference on Parallel Architectures and Compilation Techniques (PACT), August 2014]

Towards Transactional Memory for OpenMP
Michael Wong, Eduard Ayguade, Justin E. Gottschlich, Victor Luchangco, Bronis R. de Supinski and Barna Bilhari
[The 2014 International Workshop on OpenMP, August 2014]

[2013]

Concurrent Predicates: A Debugging Technique for Every Parallel Programmer (17% acceptance, 36/208)
Justin E. Gottschlich, Gilles Pokam, Cristiano Pereira, and Youfeng Wu
[The 22nd International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2013]

Using Elimination and Delegation to Implement a Scalable NUMA-Friendly Stack (46% acceptance, 14/30)
Irina Calciu, Justin E. Gottschlich, and Maurice Herlihy
[USENIX Hot Topics in Parallelism (HotPar), June 2013]

But How Do We Really Debug Transactional Memory Programs? (46% acceptance, 14/30)
Justin E. Gottschlich, Rob Knauerhase, and Gilles Pokam
[USENIX Hot Topics in Parallelism (HotPar), June 2013]

QuickRec: Prototyping an Intel Architecture Extension for Record and Replay of Multithreaded Programs (19% acceptance, 56/288)
Gilles Pokam, Klaus Danne, Cristiano Pereira, Rolf Kassa, Tim Kranich, Shiliang Hu, Justin E. Gottschlich, Nima Honarmand, Nathan Dautenhahn, Sam King, and Josep Torrellas
[The 40th ACM/IEEE International Symposium on Computer Architecture (ISCA), June 2013]

Generic Programming Needs Transactional Memory
Justin E. Gottschlich and Hans-J. Boehm
[The 8th ACM SIGPLAN Workshop on Transactional Computing (TRANSACT), March 2013]

[2012]

Visualizing Transactional Memory (19% acceptance, 39/207) (BibTex)
Justin E. Gottschlich, Maurice Herlihy, Gilles Pokam, and Jeremy Siek
[The 21st International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2012]

Concurrent Predicates: Finding and Fixing the Root Cause of Concurrency Violations (BibTex)
Justin E. Gottschlich, Gilles Pokam, and Cristiano Pereira
[USENIX Workshop on Hot Topics in Parallelism (HotPar), June 2012]

[2011]

CoreRacer: A Practical Memory Race Recorder for Multicore x86 TSO Processors (21% acceptance, 44/209) (BibTex)
Gilles Pokam, Cristiano Pereira, Shiliang Hu, Ali-Reza Adl-Tabatabai, Justin E. Gottschlich, Jungwoo Ha, and Youfeng Wu
[International Symposium on Microarchitecture (MICRO), December 2011]

Optimizing the Concurrent Execution of Locks and Transactions (37% acceptance, 19/52) (BibTex)
Justin E. Gottschlich and JaeWoong Chung
[International Workshop on Languages and Compilers for Parallel Computing (LCPC), September 2011 / Lecture Notes in Comptuer Science, 2013]

[2010]

An Efficient Software Transactional Memory Using Commit-Time Invalidation (41% acceptance, 29/70) (Winner Best Presentation Award) (BibTex)
Justin E. Gottschlich, Manish Vachharajani and Jeremy G. Siek
[IEEE/ACM International Symposium on Code Generation and Optimization (CGO), April 2010]

More Publications…