Alexander Heinecke, M.Sc., M.Sc. with honors

Address:

TU München

Institut für Informatik

Boltzmannstr. 3

85748 Garching b. München

Office:

MI 02.05.036

Email:

Phone:

(089) 289 18 619

Fax:

(089) 289 18 607

Office Hours:

by arrangement

Awards

• Together with NICS, Appro and Intel Labs Alexander Heinecke was able to place the supercomputer called BEACON (installed at NICS) at #1 spot of Nov. 2012 Green500 list.
• Alexander Heinecke was awarded the Intel Doctoral Student Honor Programme Award in 2012.
• Alexander Heinecke and Dirk Pflüger were awarded the Best Paper Award for their publication entitled "Multi- and Many-Core Data Mining with Adaptive Sparse Grids" at the 2011 ACM International Conference on Computing Frontiers.

Publications

Volume 2013

• W. Eckhardt, A. Heinecke, R. Bader, M. Brehm, N. Hammer, H. Huber, H.-G. Kleinhenz, J. Vrabec, H. Hasse, M. Horsch, M. Bernreuther, C. Glass, C. Niethammer, A. Bode and H.-J. Bungartz: 591 TFLOPS Multi-Trillion Particles Simulation on SuperMUC [BibTeX].
  In International Supercomputing Conference (ISC) Proceedings 2013. Springer, Heidelberg, Germany, June 2013. accepted for publication.
• A. Heinecke and D. Pflüger: Emerging Architectures Enable to Boost Massively Parallel Data Mining using Adaptive Sparse Grids [BibTeX].
  In International Journal of Parallel Programming, Volume 41(3), p. 357–399. Springer US, New York, June 2013.
• A. Heinecke, D. Pflüger, D. Budnikov, M. Klemm, A. Narkis, M. Shevtsov and A. Zaks: Demonstrating Performance Portability of A Custom OpenCL Data Mining Application to the Intel(R) Xeon Phi(TM) Coprocessor [BibTeX].
  In International Workshop on OpenCL Proceedings 2013, May 2013. accepted for publication.
• A. Heinecke, K. Vaidyanathan, M. Smelyanskiy, A. Kobotov, R. Dubtsov, G. Henry, G. Chrysos, A. G Shet and P. Dubey: Design and Implementation of the Linpack Benchmark for Single and Multi-Node Systems Based on Intel(R) Xeon Phi(TM) Coprocessor [BibTeX].
  In IPDPS Proceedings 2013, May 2013. accepted for publication.
• W. Eckhardt and A. Heinecke: SuperMUC boosts the largest molecular dynamics simulation by 4X in Number of Particles [BibTeX].
  In inside - Innovatives Supercomputing in Deutschland, Volume 11(1), p. 19–21, May 2013.
• A. Heinecke: Solving High-dimensional Problems on Processors with Integrated GPU [BibTeX].
  In Facing the Multi-Core Challenge III, Volume 7686 of Lecture Notes in Computer Science, p. 121–122. Springer, Heidelberg, Germany, 2013.

Volume 2012

• A. Heinecke and C. Trinitis: Cache-oblivious Matrix Algorithms in the Age of Multi- and Many-Cores [BibTeX].
  In Concurrency and Computation: Practice and Experience, Volume 2974. John Wiley & Sons, Ltd, December 2012. doi: 10.1002/cpe.2974.
• A. Heinecke, B. Peherstorfer, D. Pflüger and Z. Song: Sparse Grid Classifiers as Base Learners for AdaBoost [BibTeX].
  In 2012 International Conference on High Performance Computing and Simulation (HPCS),, p. 161–166. IEEE, Madrid, July 2012.
• A. Heinecke, S. Schraufstetter and H.-J. Bungartz: A highly-parallel Black-Scholes Solver based on Adaptive Sparse Grids [BibTeX].
  In International Journal of Computer Mathematics, Volume 89(9), p. 1212–1238. Taylor & Francis, June 2012.
• A. Heinecke, T. Auckenthaler and C. Trinitis: Exploiting State-of-the-Art x86 Architectures in Scientific Computing [BibTeX].
  In Proceeding of the 11th International Symposium on Parallel and Distributed Computing - ISPDC 2012, p. 47–54. IEEE, Munich, June 2012.
• W. Eckhardt and A. Heinecke: An efficient Vectorization of Linked-Cell Particle Simulations [BibTeX].
  In ACM International Conference on Computing Frontiers, p. 241–243, May 2012.
• A. Heinecke, M. Klemm, D. Pflüger, A. Bode and H.-J. Bungartz: Extending a Highly Parallel Data Mining Algorithm to the Intel(R) Many Integrated Core Architecture [BibTeX].
  In Euro-Par 2011: Parallel Processing Workshops: Proceedings of the 4th Workshop on UnConventional High Performance Computing 2011 (UCHPC 2011), Volume 7156/2012 of Lecture Notes in Computer Science, p. 375–384. Springer, Bordeaux, France, May 2012.
• A. Heinecke, M. Klemm, H. Pabst and D. Pflüger: Towards high-performance implementations of a custom HPC kernel using Intel(R) Array Building Blocks [BibTeX].
  In Facing the Multicore-Challenge II, Volume 7174 of Lecture Notes in Computer Science, p. 36–47. Springer, Berlin, May 2012.
• H.-J. Bungartz, A. Heinecke, D. Pflüger and S. Schraufstetter: Parallelizing a Black-Scholes solver based on finite elements and sparse grids [BibTeX].
  In Concurrency and Computation: Practice and Experience. John Wiley & Sons, Ltd, March 2012.
• A. Heinecke, M. Klemm and H.-J. Bungartz: GPGPU to Many-Core: NVIDIA Fermi and Intel Many Integrated Core Architecture [BibTeX].
  In Computing in Science & Engineering, Volume 14(2), p. 78–83, February 2012. doi:10.1109/MCSE.2012.23.

Volume 2011

• H.-J. Bungartz, A. Heinecke, D. Pflüger and S. Schraufstetter: Option Pricing with a Direct Adaptive Sparse Grid Approach [BibTeX].
  In Journal of Computational and Applied Mathematics, Volume 236(15), p. 3741 –– 3750, October 2011. online Okt. 2011.
• A. Heinecke and C. Trinitis: Making TifaMMy fit for Tomorrow: Towards Future Shared Memory Systems and Beyond [BibTeX].
  In 2011 International Conference on High Performance Computing and Simulation (HPCS), p. 517–524. IEEE, Istanbul, Turkey, July 2011.
• A. Heinecke and D. Pflüger: Multi- and Many-Core Data Mining with Adaptive Sparse Grids [BibTeX].
  In Proceedings of the 8th ACM International Conference on Computing Frontiers, p. 29:1–29:10. ACM, New York, USA, May 2011.
• A. Heinecke: Integration von Adaptivität in einen Dünngitterlöser für Basket-Optionen [pdf] [BibTeX].
  Master's thesis, Institut für Informatik, Technische Universität München, February 2011.

Volume 2010

• A. Heinecke, C. Trinitis and J. Weidendorfer: Porting existing cache-oblivious Linear Algebra HPC Modules to Larrabee Architecture [BibTeX].
  In Proceedings of the 2010 ACM International Conference on Computing Frontiers, p. 91–92. ACM Digital Library, May 2010.
• A. Heinecke: Realisierung einer Randbehandlung für adaptive Dünngittermethoden mit Anwendungen im Data Mining und in der Finanzmathematik [pdf] [BibTeX].
  Diplomarbeit, Institut für Informatik, Technische Universität München, February 2010.
• H.-J. Bungartz, A. Heinecke, D. Pflüger and S. Schraufstetter: Parallelizing a Black-Scholes Solver based on Finite Elements and Sparse Grids [BibTeX].
  In IEEE International Parallel & Distributed Processing Symposium, 2010.

Volume 2009

• M. Bader and A. Heinecke: Cache Oblivious Dense and Sparse Matrix Multiplication Based on Peano Curves [BibTeX].
  In Proceedings of the PARA 08, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing of Lecture Notes in Computer Science. Springer, December 2009. accepted for publication.
• A. Heinecke and M. Bader: Towards many-core implementation of LU decomposition using Peano Curves [BibTeX].
  In Conference On Computing Frontiers, UCHPC-MAW '09: Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop, p. 21–30. ACM, New York, May 2009.

Volume 2008

• M. Bader, R. Franz, S. Guenther and A. Heinecke: Hardware-oriented Implementation of Cache Oblivious Matrix Operations Based on Space-filling Curves [BibTeX].
  In R. Wyrzykowski, J. Dongarra, K. Karczewski and J. Wasniewski (ed.), Parallel Processing and Applied Mathematics, 7th International Conference, PPAM 2007, Volume 4967 of Lecture Notes in Computer Science, p. 628–638. Springer, May 2008.
• A. Heinecke and M. Bader: Parallel matrix multiplication based on space-filling curves on shared memory multicore platforms [BibTeX].
  In Proceedings of the 2008 Computing Frontiers Conference and co-located workshops: MAW'08 and WRFT'08, p. 385–392, May 2008.
• A. Heinecke: Cache Optimised Data Structures and Algorithms for Sparse Matrices [pdf] [BibTeX].
  Bachelor's thesis, Institut für Informatik, TU München, April 2008.

Talks

Volume 2013

• A. Heinecke: Efficient Numerical Algorithms on Xeon Phi [BibTeX].
  Leogang 13, Leogang, Austria, March 2013.
• A. Heinecke: ELPA: A Highly Scalable Eigensolver for Petaflop Applications [BibTeX].
  SIAM Computational Science and Engineering (SIAM CSE), Boston, USA, February 2013.
• A. Breuer, A. Heinecke, S. Rettenberger, M. Bader and C. Pelties: Optimization of SeisSol [BibTeX].
  GeoComputing Seminar, Ludwig-Maximilians-University, Munich, January 2013.

Volume 2012

• A. Heinecke: Data Mining with Adaptive Sparse Grids on a Intel(R) Xeon(R) Phi(TM) Cluster [BibTeX].
  Invited Demo at Intel Booth SC12, The International Conference for High Peformance Computing, Networking, Storage and Analysis, Salt Lake City, USA, November 2012.
• A. Heinecke: Solving High-dimensional Problems on Processors with Integrated GPU [BibTeX].
  Facing the Multicore-Challenge III, Stuttgart, Germany, October 2012. poster presentation.
• A. Heinecke: A Note on Duality of Peak and Application Peak Performance [BibTeX].
  ScalPerf'12 Scalable Approaches to High Performance and High Productivity Computing, Bertinoro, Italy, September 2012.
• A. Heinecke: From GPGPUs to Many-Core Co-Processors [BibTeX].
  The 2012 International Conference on High Performance Computing & Simulation (HPCS 2012), Madrid, Spain, July 2012.
• A. Heinecke and C. Trinitis: Teaching Parallel Programming: How to use the Intel(R) Many-Core Testing Lab [BibTeX].
  The 2012 International Conference on High Performance Computing & Simulation (HPCS 2012), Madrid, Spain, July 2012. Invited Demonstration.
• A. Heinecke: Sparse Grid Classifiers as Base Learners for AdaBoost [BibTeX].
  International Workshop on Machine Learning, Pattern Recognition & Applications (MLPRA 2012) co-located with the 2012 International Conference on High Performance Computing & Simulation (HPCS 2012), Madrid, Spain, July 2012.
• A. Heinecke: A Cache-Aware and Vectorized Up-Down Implementation supporting Spatially Adaptive Sparse Grids [BibTeX].
  Workshop on Sparse Grids and Applications, Munich, Germany, July 2012.
• A. Heinecke: Exploiting State-of-the-Art x86 Architectures in Scientific Computing [BibTeX].
  he 11th International Symposium on Parallel and Distributed Computing - ISPDC 2012, Munich, Germany, June 2012.
• A. Heinecke: Unleashing the Power of Intel Xeon Phi in Data Mining [BibTeX].
  International Supercomputing Conference, Hamburg, Germany, June 2012. Invited Intel Booth Presentation.

Volume 2011

• A. Heinecke: From GPGPUs to Many-Core Co-Processors [BibTeX].
  Scalable Approaches to High Performance and High Productivity Computing 2011, Bertinoro, September 2011. Invited Talk..
• A. Heinecke: Towards high-performance implementations of a custom HPC kernel using Intel(R) Array Building Blocks [BibTeX], Karlsruhe, September 2011.
• A. Heinecke: Extending a Highly Parallel Data Mining Algorithm to the Intel(R) Many Integrated Core Architecture [BibTeX].
  The 4th Workshop on UnConventional High Performance Computing 2011 (UCHPC 2011), co-located with Euro-Par 2011, Bordeaux, August 2011.
• A. Heinecke: Making TifaMMy fit for Tomorrow: Towards Future Shared Memory Systems and Beyond [BibTeX].
  International Workshop on New Algorithms and Programming Models for the Manycore Era, APMM 2011, co-located with HPCS 2011, Istanbul, July 2011.
• A. Heinecke and C. Trinitis: Teaching Parallel Programming: How to use the Intel(R) Many-Core Testing Lab [BibTeX].
  The 2011 International Conference on High Performance Computing & Simulation, Istanbul, July 2011. Invited Demonstration..
• A. Heinecke: How to use Intel(R) Hyper-Threading Technology in Scientific Computing [BibTeX].
  International Supercomputing Conference, Hamburg, June 2011. Intel Booth Presentation..
• A. Heinecke: TifaMMy on Intel(R) Knights Ferry (Intel(R) Many Integrated Core Architecture) [BibTeX].
  International Supercomputing Conference, Hamburg, June 2011. Invited Demonstration at Intel Booth..
• A. Heinecke: Towards a highly-parallel PDE-Solver using Adaptive Sparse Grids on Compute Clusters [pdf] [BibTeX].
  HIM - Workshop on Sparse Grids and Applications, Bonn, Germany, May 2011.
• A. Heinecke: Multi- and Many-Core Data Mining with Adaptive Sparse Grids [pdf] [BibTeX].
  2011 ACM International Conference on Computing Frontiers, Ischia, Italy, May 2011.

Volume 2010

• A. Heinecke: Porting existing cache-oblivious Linear Algebra HPC Modules to Larrabee Architecture [BibTeX].
  2010 ACM International Conference on Computing Frontiers, Bertinoro, Italy, May 2010.

Volume 2009

• A. Heinecke: Towards many-core implementation of LU decomposition using Peano Curves [BibTeX].
  2009 ACM International Conference on Computing Frontiers, Ischia, Italy, May 2009.

Volume 2008

• A. Heinecke: Parallel matrix multiplication based on space-filling curves on shared memory multicore platforms [BibTeX].
  ACM International Conference on Computing Frontiers, Ischia, May 2008.