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Undergraduate research position available

February 13th, 2014 No comments

Position is available for UNIST undergraduate students seeking research opportunities.

Topics:

– Multicore architecture & compilation

– Application-specific processor design for System-on-Chip (SoC)

Contact Prof. Lee if interested.

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Heterogeneous Parallel Computing

February 10th, 2014 No comments

Heterogeneous Parallel Computing (HPC) is about utilizing a set of very different processors such as CPU and GPU efficiently and with ease. The HPC Research Group in ECL lab is actively addressing the following research questions to help realize better heterogeneous parallel computing platforms and applications.

Research Agenda

  • communication problem
    • between CPU and accelerators (GPU, VLIW, loop accelerators, ASIC, etc.)
  • memory organization and management problem
    • shared memory? cache? scratch-pad memory?
  • domain specific architecture
    • for example, computer vision or machine learning

Publications

  • Fast Shared On-Chip Memory Architecture for Efficient Hybrid Computing with CGRAs, Jongeun Lee, Yeonghun Jeong, and Sungsok Seo, Proc. of Design, Automation and Test in Europe (DATE ’13), March, 2013.
  • Software-Managed Automatic Data Sharing for Coarse-Grained Reconfigurable Coprocessors, Toan X. Mai and Jongeun Lee*, Proc. of International Conference on Field-Programmable Technology (FPT ’12), pp. 277-284, December, 2012.
  • CRM: Configurable Range Memory for Fast Reconfigurable Computing, Jongkyung Paek, Jongeun Lee*, and Kiyoung Choi, Proc. of Reconfigurable Architecture Workshop (RAW ’11), pp. 158-165, May, 2011.

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U-WURF 2013

December 26th, 2013 No comments

(This was posted using org2blog plugin.)

Goal

  • Learn LLVM, the state-of-the-art compiler infrastructure
  • Explore application of compiler techniques to solving interesting problems

LLVM resources

Exercise

  • creating a module
  • implementing DFG gen (or similar)
  • hacking the front-end

Seminar Topics

  • LLVM (of course!)
  • JIT compilation (?)
  • … any suggestions?

For More Ambitious Students

Study/evaluation of LLVM based JIT translator

  • LLVM-based JIT translator is already designed/implemented
  • The main goal of this activity is to learn the JIT version by running it with benchmarks
  • One possible outcome is to compare its performance with a static version (which is also LLVM-based)
  • If you can improve the performance of the JIT version, it will be fantastic! (probably need an extended period of time…)

Bookmarks

LLVM

General

Disclaimer

There are other interesting projects as well for those who are inclined toward hardware design (such as FPGA) or GPU computing. We will discuss this in the first meeting.

  • other things: SRP trial (paek), VM security thing (youn), GPU profiling (choi)

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Reconfigurable Computing

December 9th, 2013 No comments

Multi-core and even many-core processors have been successfully used in other domains. Reconfigurable array processors, for instance, have been actively researched and used as an on-chip accelerator for stream processing applications and embedded processors, due to their extremely low power and high performance execution, compared to general purpose processors or even DSPs (digital signal processors).

However, the main challenge in such accelerator-type reconfigurable processors is compilation — the problem of how to map applications onto the architecture. At the heart of this problem is the 2D placement-and-routing problem, which is traditionally recognized as a CAD problem, which is why this problem is often discussed in the design automation communities. Still the problem needs more research and development efforts (such as mature tool chains) for more wide-spread adoption of the architecture.

The ECL Lab is actively pursuing research on this topic, with a few specific goals in mind. We have two granted projects on this, partially in collaboration with other labs.

bougard.png

Figure 1: An accelerator-type reconfigurable processor architecture (Bougard et al. ’08).

Research Questions

  • how to compile the usual C programs (“legacy”) onto coarse-grained reconfigurable architectures?
  • can there be good architectural solutions (such as architecture extensions) to make it much easier to map programs to these architectures (“compiler-friendly architectures”)?
  • what are the real bottleneck to enhancing performance through these processors and how to address them?
    • application level mapping problem

Publications

  • Compiling Control-Intensive Loops for CGRAs with State-Based Full Predication, Kyuseung Han, Kiyoung Choi, and Jongeun Lee, Proc. of Design, Automation and Test in Europe (DATE ’13), March, 2013.
  • Architecture Customization of On-Chip Reconfigurable Accelerators, Jonghee W. Yoon, Jongeun Lee*, Sanghyun Park, Yongjoo Kim, Jinyong Lee, Yunheung Paek, and Doosan Cho, ACM Transactions on Design Automation of Electronic Systems (TODAES), 18(4), pp. 52:1-52:22, ACM, October, 2013.
  • Improving Performance of Nested Loops on Reconfigurable Array Processors, Yongjoo Kim, Jongeun Lee*, Toan X. Mai, and Yunheung Paek, ACM Transactions on Architecture and Code Optimization (TACO), 8(4), pp. 32:1-32:23, ACM, January, 2012.
  • Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture, Yongjoo Kim, Jongeun Lee*, Jinyong Lee, Toan X. Mai, Ingoo Heo, and Yunheung Paek, Proc. of International Symposium on Applied Reconfigurable Computing (ARC ’12), Lecture Notes in Computer Science, vol. 7199, pp. 40-52, March, 2012.
  • High Throughput Data Mapping for Coarse-Grained Reconfigurable Architectures, Yongjoo Kim, Jongeun Lee*, Aviral Shrivastava, Jonghee W. Yoon, Doosan Cho, and Yunheung Paek, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 30(11), pp. 1599-1609, IEEE, November, 2011.
  • Memory Access Optimization in Compilation for Coarse Grained Reconfigurable Architectures, Yongjoo Kim, Jongeun Lee*, Aviral Shrivastava, and Yunheung Paek, ACM Transactions on Design Automation of Electronic Systems (TODAES), 16(4), pp. 42:1-42:27, ACM, October, 2011.

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Graduate students wanted!

November 26th, 2013 No comments
programming

Image source: http://wwwiebe.com

In Embedded Computing Lab, we are currently recruiting motivated graduate students with CS or EE background.

Applications to UNIST for academic year 2014 are still open until at least mid-December.

Senior-level undergraduate students who are interested in the design and optimization of computer architecture/compiler/systems especially for mobile embedded systems are also welcome!

In ECL lab, we are particularly interested in various (=energy-efficient) ways of implementing computation and programmability.  If you are a good programmer, it will help a lot, but even if you aren’t, you can learn how to program (along with many others) while in the graduate school.  Please contact us if interested.

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Article accepted to ACM TACO

November 25th, 2013 No comments

Congratulations to Yeonghun and Seongseok,

Our paper titled “Evaluator-Executor Transformation for Efficient Pipelining of Loops with Conditionals” is accepted to ACM Transactions on Architecture and Code OptimizatiACM TACO logoon. Authors will also be invited to HiPEAC 2014, Vienna, Austria. Congratulations again!

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lab seminar: stream applications

July 5th, 2013 No comments

Tuesday July 9, we’ll have a lab meeting, where Seongseok will give a short presentation on stream applications.

Date: Wed, July 10 -> Tue, July 9

Time: 5 pm

Place: Room 511

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Andrew Huh

June 18th, 2013 No comments

Andrew Huh from University of Michigan, doing lab internship at ECL lab as part of the UNIST Global program.

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Our mission as engineers

May 21st, 2013 No comments

“At Bell Labs, the first thing they told us was that we were there to use our brains, not for just for our engineering skills,” said Chen. “Now that’s what I tell my students.”

via http://www.eetimes.com/electronics-blogs/other/4414629/Taiwan-reversing-brain-drain

Nowadays, I find EETimes articles are much more interesting than those of CACM. The above quote is something that reminds me of our mission as researchers in academia.

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Research Internship opportunity

May 9th, 2013 No comments
Learning Processor-Generator

Automatic processor generation using a commercial state-of-the-art tool (Synopsys LISA tool)

Programming GPU

Machine Learning algorithm (HMM) on GPU (do something similar to: https://code.google.com/p/hmm-cuda/)

For further detail, please ask Prof. Lee at EB2 #501-5, or drop him a line.

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