Meng, Jiayuan
I am currently an Argonne Scholar at Argonne National Laboratory's Leadership Computing Facility Division. I received my Ph.D. from Department of Computer Science in University of Virginia in Aug. 2010. My research focus is computer architecture and high performance computing. I am also interested in graphics, artificial intelligence and machine learning. Contact me
Projects:
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Fractal:
Streaming CMP Architecture Simulator MV5: A Reconfigurable Simulator for Heterogeneous Multicore Architectures Advised by Prof. Kevin Skadron. |
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Characterizing on Parallel
Applications: Advised by Dr. Dee Weikle |
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Shaping with Patterns: Course project on Jason Lawrence's class Data Driven Models in Computer Graphics in Fall, 2006. |
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Non-Parametric Texture Synthesize:
Implemented during Jason Lawrence's class Data Driven Models in Computer Graphics in Fall, 2006. Using Markov Random Field possibility theory to grow a new texture from a 3 by 3 "seed" from the original texture. The new texture will resemble the original texture. |
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Image Analogies: Implemented during the Jason Lawrence's class Data Driven Models in Computer Graphics in Fall, 2006. |
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Poisson Editting Implemented during the Jason Lawrence's class Data Driven Models in Computer Graphics in Fall, 2006. |
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Key Feature Matching Implemented during the Jason Lawrence's class Data Driven Models in Computer Graphics in Fall, 2006. Using SIFT to find the scale and rotation invariant key points. |
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AmberBBV: [AmberBBV main page] Supervised by Prof. Kevin Skadron and Dr. Dee Weikle. Here I am building a tool to capture the basic block vectors at run time according to the traces of PowerPC applications captured by amber. This is an amber plug-in using amber externel library. |
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Micro-architecture independent characterizing on Game
applications:
Supervised by Prof. Kevin Skadron and Dr. Dee Weikle. Using micro-architecture independent characteristics to evaluate games such as WarCraft 3, Doom 2 and a ray tracer PBRT. Published as TR CS-2007-04 |
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Fluid Simulation with a Multigrid PDE Solver on GPU
Mark Harris has wrote a Fluid Simulation on a 2D grid. This small project tries to extend it by using multi-grid PDE solver on GPU. download code (code may not work if GPU don't have enough support) video: [no viscosity] [low viscosity] [high viscosity] [vector fields] |
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GPU implementation of Light-Field Photography:
Supervised by Prof. Kevin Skadron, Dr. Dee Weikle, and Prof. Greg Humphreys. Ren Ng and Mark Levoy have published the idea of the light field camera using microlens arrays. This implementation trys to accelerate the computation by using SSE2, graphics hardware, and Cell Broad Band Engine(PlayStation3 processor). It can run 35 fps for a 4096*4096 lightfield image, user can browse different depth at real time. [tech report] code for: [CBE] [GPU][SSE] |
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Game Engine:
Course project in the coarse Real Timer Rendering on Spring, 2006 taught by Prof. David Luebke. This is a joint project together with Jiajun Zhu and Kevin Dale.We were focusing on the rendering engine. |
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Virtual Creature:
This is a course project together with
Jiajun Zhu for Intro Graphics in
Fall, 2005 taught by Prof. Greg
Humphreys. The key technique used here is artificial neural network and
genetic programming. It tries to reproduce Karl Sims' work about
"Evolved Virtual Creatures". Can't believe it that the creature got evolved
just 2 days before the Demo! Life is a miracle!
[html](download video high | low , video for bran structure: brain ) |
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High-Resolution Display Wall This is my senior thesis project under the supervision of Prof. Jiaoying Shi and Prof. Hai Lin in Zhejiang University. Using 5*3 distributed PCs each with a projector, display a large high-resolution image on the screen seamlessly. This work has been published. See: |
Education
Workshops
To be held in conjunction with IPDPS'13 on May, 2013, Boston, USA
Paper Submission Deadline: TBD
Publications
| 2012 | Dataflow-Driven GPU Performance Projection for Multi-Kernel Transformations. J.Meng, V. Morozov, V. Vishwanath, and K. Kumaran, In ACM/IEEE Supercomputing Conference, Nov 2012 Slides |
| ALCF MPI Benchmarks: Understanding Machine-Specific Communication Behavior. V. Morozov, J. Meng, V. Vishwanath, J. Hammond, K. Kumaran, and M. Papka. In the Proceedings of the P2S2 Workshop, Sept. 2012 | |
| 2011 | GROPHECY: Projecting GPU Performance from CPU Code Skeletons J. Meng, V. Morozov, K. Kumaran, V. Vishwanath, and T. Uram In Proceedings of the ACM/IEEE Supercomputing Conference, Nov 2011 Slides |
| 2010 | Dynamic Warp Subdivision for Integrated Branch and Memory Divergence Tolerance J. Meng, D. Tarjan, and K. Skadron In Proceedings of the 37th ACM/IEEE International Symposium on Computer Architecture, June 2010 |
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Exploiting the Forgiving Nature of Applications for Scalable Parallel Execution J. Meng, A. Raghunathan, S. Chakradhar, and S. Byna, In Proceedings of the 24rd International Parallel and Distributed Processing Symposium, 2010 |
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| Exploiting Inter-thread Temporal Locality for Chip Multithreading J. Meng, J. Sheaffer, and K. Skadron. In Proceedings of the 24rd International Parallel and Distributed Processing Symposium, 2010 | |
| 2009 | Avoiding Cache Thrashing due to Private Data Placement in Last-level Cache for Manycore Scaling J. Meng and K. Skadron In IEEE International Conference on Computer Design, Oct 2009 |
| Increasing Memory Latency Tolerance for SIMD Cores D. Tarjan, J. Meng and K. Skadron In ACM/IEEE Supercomputing Conference, Nov 2009 (Best Student Paper Award) | |
| Performance Modeling and Automatic Ghost Zone Optimization for Iterative Stencil Loops on the Tesla Architecture J. Meng and K. Skadron. In the 23rd International Conference on Supercomputing, June 2009 | |
| Leveraging Memory Level Parallelism Using Dynamic Warp Subdivision J. Meng, D. Tarjan and K. Skadron. UVA Tech Report CS-2009-02. | |
| Best-Effort Parallel Execution Framework for Recognition and Mining Applications J. Meng, S. Chakradhar, and A. Raghunathan. In the proceedings of the 23rd International Parallel and Distributed Processing Symposium, May 2009 | |
| Rodinia: A Benchmark Suite for Heterogeneous Computing Shuai Che, Michael Boyer, Jiayuan Meng, David Tarjan, Sang-Ha Lee, Jeremy Sheaffer, and Kevin Skadron. IISWC, Oct. 2009 | |
| 2008 | Programming with Relaxed Streams. J. Meng, S. R. Tarapore, S. Che, J. Huang, J. W. Sheaffer, and K. Skadron. UVA Tech. Report CS-2007-17 |
| 2007 | A Performance Study of General Purpose Applications on Graphics Processors. S. Che, J. Meng, J. W. Sheaffer, and K. Skadron. First Workshop on General Purpose Processing on Graphics Processing Units, Northeastern University, Oct. 2007 |
| Paraweaver: Performance Evaluation on Programming Models for Fine Grained Threads J. Meng, D. A. B. Weikle, K. Hazelwood. UVA Tech. Report CS-2007-09 | |
| Comparing Doom 3, WarCraft III, PBRT and MESA Using Micro-Architectually Independent Characteristics J. Meng, H. Cook, K. Skadron, D. A. B. Weikle. Technical Report CS-2007-04 | |
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An Approach on Hardware Design for Computational Photography Applications based on Light Field Refocusing Algorithm J. Meng,, D. A. B. Weikle, G. Humphreys, K. Skadron, UVA Tech Report CS-2007-15 |
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| 2006 | High-Resolution Image Viewing on Projection-based Tiled Display Wall J. Meng, H. Lin, and J. Shi. Proceedings of SPIE on Electronic Imaging 2006 |
Awards
2010: UVA Award for Excellence in Scholarship in the Sciences & Engineering
2009 - 2010: NVIDIA PhD Fellowship
2002 - Now: Melton Fellow
