Publications, Posters and Talks

For the full, year-by-year list, see the 📘Chronological List of Publications at the bottom.

 

 

📚 (Selected) Conferences and Workshops:

 

Zachariah Sollenberger, Rahul Patel, Saieda Ali Zada, Sunita Chandrasekaran, LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests, to APPEAR in IEEE HiPC, Dec 2025 🔗 arxiv.org

 

Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Richard Pausch, Norbert Podhorszki, Franz P.schel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran — The Artificial Scientist: In-Transit Machine Learning of Plasma Simulations. pp. 407-418, 🔗 DOI. IPDPS, 2025

 

Jarmusch, A., Cabarcas, F., Pophale, S., Kallai, A., Doerfert, J., Peyralans, L., … & Chandrasekaran, S. (2024, September). CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. In International Workshop on OpenMP (pp. 111-125). Cham: Springer Nature Switzerland.

 

Z. Sollenberger, J. Patel, C. Munley, A. Jarmusch, and S. Chandrasekaran, “LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites,” SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, 2024, pp. 1885-1893. 🔗 DOI

 

Wael Elwasif, William Godoy, Nick Hagerty, J Austin Harris, Oscar Hernandez, Balint Joo, Paul Kent, Damien Lebrun-Grandie, Elijah Maccarthy, Veronica Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Sergei Bastrakov, Michael Bussmann, Alexander Debus, Klaus Steiniger, Jan Stephan, Rene Widera, Spencer Bryngelson, Henry Le Berre, Anand Radhakrishnan, Jeffrey Young, Sunita Chandrasekaran, Florina Ciorba, Osman Simsek, Kate Clark, Filippo Spiga, Jeff Hammond, Stone John, David Hardy, Sebastian Keller, Jean-Guillaume Piccinali, Christian Trott — Application experiences on a GPU-accelerated ARM-based HPC testbed. In Proceedings of the HPC Asia 2023 Workshops (pp. 35–49). 2023. 🔗 DOI

 

Scott Atchley, Christopher Zimmer, John Lange, …, Sunita Chandrasekaran, …, P. K. Yeung T. — Frontier: Exploring Exascale. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC23 (pp. 1–16), 2023

 

Felix Meyer, Benjamin Hernandez, Richard Pausch, René Widera, David Groß, Sergei Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus — Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), pp. 1–14. 2023. 🔗 DOI

 

Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreet Suresh, Sunita Chandrasekaran — Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability. In Proceedings of SC'23 Workshops (pp. 1929–1938). 2023

 

Wael Elwasif, William Godoy, Nick Hagerty, et al. — Application experiences on a GPU-accelerated ARM-based HPC testbed. In Proceedings of HPC Asia 2023 Workshops (pp. 35–49). 2023

 

Atchley, S., Zimmer, C., Lange, J., et al. — Frontier: Exploring Exascale. In Proceedings of SC (pp. 1–16). November 2023

 

Meyer, Felix, Benjamin Hernandez, Richard Pausch, et al. — Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. In Proceedings of the Platform for Advanced Scientific Computing Conference, pp. 1–14. 2023

 

Eric Wright, Johannes Doerfert, Shilei Tian, Barbara Chapman, Sunita Chandrasekaran — Implementing OpenMP’s SIMD Directive in LLVM’s GPU Runtime. ICPP 2023. 🔗 DOI

 

T. Huber et al., “ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP,” 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), Dallas, TX, USA, 2022, pp. 123-135. 🔗 DOI

 

 

📰 Journals:

 

Munley C, Jarmusch A, Chandrasekaran S — LLM4VV: Developing LLM-driven testsuite for compiler validation. Future Generation Computer Systems, 160, 1–13 (2024). 🔗 DOI

 

Gutta V, Ganakammal SR, Jones S, Beyers M, Chandrasekaran S — UNNT: A Novel Utility for Comparing Neural Net and Tree-Based Models. PLOS Computational Biology, 20(4): e1011504 (2024). 🔗 DOI

 

Mauricio H Ferrato, Adam G Marsh, et al. — ML Classifier Approaches for Predicting Response to RTK-Type-III Inhibitors. Bioinformatics Advances (2023). 🔗 DOI

 

Steiniger, K., Widera, R., Bastrakov, S., et al. — EZ: An Efficient, Charge Conserving Current Deposition Algorithm. Computer Physics Communications, 291, 108849 (2023)

 

Leinhauser, M., Widera, R., Bastrakov, S., et al. — Instruction Roofline Model for AMD GPUs. ACM Transactions on Parallel Computing, 9(1), Article No. 1 (2022). 🔗 DOI

 

 

📋 Technical Reports:

 

Jarmusch, A., Baker, N., Chandrasekaran, S. — Using Jetstream for OpenMP Offloading and OpenACC Testsuites. 📝 Read on ScholarWorks

 

Ferrato, M., Crowgey, E., Chandrasekaran, S. — ML Framework for Classification of Patient Cohorts Using Genomics. AMIA 2020. 📝 AMIA Link

 

Leinhauser, M., et al. — CAAR for Frontier – NVProf on Summit. University of Delaware. 📝 PDF

 

 

🪧 Posters:

 

Kallai, A., Nguyen, K., Paehler, L., et al. — IR Around the World: Multi-Language Corpus of IR. Euro LLVM 2024, Vienna

 

Munley, C., Jarmusch, A.M., Chandrasekaran, S. — LLM4VV: Compiler Validation with LLMs. DARWIN Computing Symposium 2024

 

 

🎤 Talks (by students):

 

Fabian Mora — XBLang: An Extensible MLIR Frontend. Euro LLVM 2024, Vienna

 

Eric Wright — OpenMP SIMD Directive in LLVM GPU Runtime. ICPP 2023, Utah

 

Christian Munley, Aaron Jarmusch — OpenACC V&V Testsuite. OpenACC Webinar, Dec 2023

 

Aaron Jarmusch — OpenACC Validation & Verification Testsuite. WACCPD Workshop and ACM Poster Competition @ SC22, Dallas, 2022

 

Eric Wright — Refactoring the MURaM Model for GPU/CPU Portability Using OpenACC. PASC 2021 (Virtual)

 

Matthew Leinhauser — Designing an Instruction Roofline Model for AMD GPUs. CASUS, Görlitz, Germany, July 2021 (Virtual)

 

Eric Wright — Accelerating Solar Physics Application MURaM for GPU. NCAR, Boulder, CO, Sept 2019

 

Robert Searles — Creating Language Extensions for Complex Parallel Patterns. NCAR, Boulder, CO, March 2019

 

Sanhu Li, Sunita Chandrasekaran — Using OpenACC for NGS Techniques to Create a Portable Code Base. GTC 2017 🔗 Link

 

Arnov Sinha, Sunita Chandrasekaran — Using OpenACC to Parallelize Irregular Algorithms on GPUs. GTC 2017 🔗 Link

 

 

📘 Chronological List of Publications

 

2025

 

Jayaraman, A., & Chandrasekaran, S. — Publication: Interdisciplinary Polymer and Data Science Graduate Training by Bringing Industry Relevant Problems into the Classroom. Macromolecules, 58(16), 8569–8571.

 

  • Sollenberger, Z., Patel, R., Zada, S. A., & Chandrasekaran, S. — Publication: LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests. arXiv:2507.21447.

 

  • Jarmusch, A., Graddon, N., & Chandrasekaran, S. — Publication: Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks. arXiv:2507.10789.

 

  • Kelling, J., Bolea, V., Bussmann, M., Checkervarty, A., Debus, A., Ebert, J., … & Chandrasekaran, S. — Publication: The Artificial Scientist—in-transit Machine Learning of Plasma Simulations. arXiv:2501.03383.

 

2024

 

  • Sollenberger, Z., Patel, J., Munley, C., Jarmusch, A., & Chandrasekaran, S. — Publication: LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites. SC24-W.

 

  • Munley, C., Jarmusch, A., & Chandrasekaran, S. — Publication: LLM4VV: Developing LLM-driven testsuite for compiler validation. Future Generation Computer Systems, 160, 1–13.

 

  • Jarmusch, A., Cabarcas, F., Pophale, S., Kallai, A., Doerfert, J., Peyralans, L., … — Publication: CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. International Workshop on OpenMP, 111–125.

 

  • Eisenhauer, G., Podhorszki, N., Gainaru, A., Klasky, S., Davis, P., Parashar, M., … — Publication: Streaming data in HPC workflows using ADIOS. Cray User Group Proceedings, 31–43.

 

  • Gutta, V., Ganakammal, S. R., Jones, S., Beyers, M., & Chandrasekaran, S. — Publication: UNNT: A novel Utility for comparing Neural Net and Tree-based models. PLOS Computational Biology, 20(4), e1011504.

 

  • Sprenger, L. — Publication: Publications repository—Helmholtz-Zentrum Dresden-Rossendorf. Optics Express, 32, 32966–32976.

 

2023

 

  • Bhalachandra, S., Chandrasekaran, S., Juckeland, G., Cytowski, M. I., … — Publication: Tenth Workshop on Accelerator Programming and Directives (WACCPD 2023). ACM ICPS, 1898–1899.

 

  • Wright, E., Brown, C., Przybylski, D., Rempel, M., Suresh, S., & Chandrasekaran, S. — Publication: Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability. SC'23 Workshops.

 

  • Atchley, S., Zimmer, C., Lange, J., Bernholdt, D., Melesse Vergara, V., Beck, T., … — Publication: Frontier: Exploring Exascale. International Conference for High Performance Computing.

 

  • Steiniger, K., Widera, R., Bastrakov, S., Bussmann, M., Chandrasekaran, S., … — Publication: EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Computer Physics Communications, 291, 108849.

 

  • Bagozzi, B. E., Abou Ali, H., Blaustein, M., Blinova, D., Buler, J., Carney, L., … — Publication: Proceedings of the 2023 Delaware Data Science Symposium. UD Data Science Institute.

 

  • Wright, E., Doerfert, J., Tian, S., Chapman, B., & Chandrasekaran, S. — Publication: Implementing OpenMP’s SIMD Directive in LLVM’s GPU Runtime. ICPP 2023, 173–182.

 

  • Meyer, F., Hernandez, B., Pausch, R., Widera, R., Groß, D., Bastrakov, S., … — Publication: Hardware-agnostic interactive exascale in situ visualization of particle-in-cell simulations. PASC, 1–14.

 

  • Stack, M., Macklin, P., Searles, R., & Chandrasekaran, S. — Publication: OpenACC acceleration of an agent-based biological simulation framework. Computing in Science & Engineering, 24(5), 53–63.

 

  • Elwasif, W., Godoy, W., Hagerty, N., Harris, J. A., Hernandez, O., Joo, B., Kent, P., … — Publication: Application experiences on a GPU-accelerated Arm-based HPC testbed. HPC Asia 2023 Workshops, 35–49.

 

  • Ferrato, M. H., Marsh, A. G., Franke, K. R., Huang, B. J., Kolb, E. A., DeRyckere, D., … — Publication: Machine learning classifier approaches for predicting response to RTK-type-III inhibitors. Bioinformatics Advances, 3(1), vbad034.

 

  • Chandrasekaran, S., Si, M., Zhai, J., & Oden, L. — Publication: Special issue on new trends in high-performance computing: Software systems and applications. Software: Practice and Experience, 53(1), 3–5.

 

  • Elwasif, W., Bastrakov, S., Bryngelson, S. H., Bussmann, M., Chandrasekaran, S., … — Publication: Early application experiences on a modern GPU-accelerated Arm-based HPC platform. HPC Asia, 23, 35–49.

 

2022

 

  • Leinhauser, M., Widera, R., Bastrakov, S., Debus, A., Bussmann, M., & Chandrasekaran, S. — Publication: Instruction roofline model for AMD GPUs. ACM TOPC, 9(1), 1–14.

 

  • Brunst, H., Chandrasekaran, S., Ciorba, F. M., Hagerty, N., Henschel, R., Juckeland, G., Li, J., Vergara, V. G. M., Wienke, S., & Zavala, M. — Publication: Performance benchmarking with SPEChpc 2021. CCGrid Conference, 675–684.

 

  • Jarmusch, A., Liu, A., Munley, C., Horta, D., Ravichandran, V., Denny, J., Friedline, K., & Chandrasekaran, S. — Publication: Validating and verifying OpenACC compilers 3.0+. WACCPD Workshop, 1–10.

 

2021

 

  • Leinhauser, M., Young, J., Bastrakov, S., Widera, R., Chatterjee, R., & Chandrasekaran, S. — Publication: Performance analysis of PIConGPU using NVIDIA’s NSight tools.

 

  • Wright, E., Przybylski, D., Rempel, M., Miller, C., Suresh, S., Su, S., Loft, R., & Chandrasekaran, S. — Publication: Refactoring the MURaM model for GPU/CPU performance portability. PASC Conference, 1–12.

 

  • Jarmusch, A., Baker, N., & Chandrasekaran, S. — Publication: Using Jetstream for OpenMP Offloading and OpenACC Testsuites.

 

  • Bhalachandra, S., Wienke, S., Chandrasekaran, S., & Juckeland, G. — Publication: Accelerator Programming Using Directives. Springer.

 

2020

 

  • Wright, E., Ferrato, M. H., Bryer, A. J., Searles, R., Perilla, J. R., & Chandrasekaran, S. — Publication: Accelerating prediction of chemical shift of protein structures on GPUs. PLoS Computational Biology, 16(5), e1007877.

 

  • Ghane, M., Chandrasekaran, S., & Cheung, M. S. — Publication: Towards a portable hierarchical view of distributed shared memory systems. Programming Models Workshop, 1–10.

 

  • Davis, J., Gao, T., Chandrasekaran, S., Jagode, H., Danalis, A., Dongarra, J., Balaji, P., & Taufer, M. — Publication: Characterization of power usage and performance in data-intensive applications. In Parallel Computing: Technology Trends, 287–298.

 

  • Hoke Davis, J., Daley, C., Pophale, S., Huber, T., Chandrasekaran, S., & Wright, N. J. — Publication: Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs. arXiv:2010.09454.

 

  • Arora, R., Li, X., Hurwitz, B., Fay, D., Panda, D. K., Valeev, E., Wang, S., Moore, S., Chandrasekaran, S., & Cao, T. — Publication: Future Directions of the CSSI Program. arXiv:2010.15584.

 

2019

 

  • Ghane, M., Chandrasekaran, S., & Cheung, M. S. — Publication: Assessing performance implications of deep copy operations via microbenchmarking. arXiv:1906.01128.

 

  • Ghane, M., Chandrasekaran, S., & Cheung, M. S. — Publication: Gecko: hierarchical distributed view of heterogeneous shared memory architectures. PMAA/MM (10th Int. Workshop on Programming Models and Applications for Multicores and Manycores), 21–30.

 

  • Chandrasekaran, S., & Stahlberg, E. — Publication: Correction to: Computational approaches for cancer 2017 workshop overview. BMC Bioinformatics, 20, 43.

 

  • Bryer, A. J., Wright, E. F., Ferrato, M., Huber, T., Ortiz, E., Searles, R., Chandrasekaran, S., & Perilla, J. R. — Publication: GPU accelerated computation of isotropic chemical shifts. Biophysical Journal, 116(3), 569a–570a.

 

  • Searles, R., Chandrasekaran, S., Joubert, W., & Hernandez, O. — Publication: MPI+ OpenACC: Accelerating radiation transport mini-application. Computer Physics Communications, 236, 176–187.

 

  • Chandrasekaran, S., Juckeland, G., & Wienke, S. — Publication: Accelerator Programming Using Directives: WACCPD 2018 Proceedings. Springer.

 

  • Searles, R., Herbein, S., Johnston, T., Taufer, M., & Chandrasekaran, S. — Publication: Creating a portable, high-level graph analytics paradigm. International Journal of High Performance Computing and Networking, 13(1), 105–118.

 

  • Diaz, J. M., Friedline, K., Pophale, S., Hernandez, O., Bernholdt, D. E., & Chandrasekaran, S. — Publication: Analysis of OpenMP 4.5 offloading in implementations. Parallel Computing, 89, 102546.

 

2018

 

  • Searles, R., Chandrasekaran, S., Joubert, W., & Hernandez, O. — Publication: Wavefront algorithms for future architectures. PASC Conference, 1–10.

 

  • Ghane, M., Chandrasekaran, S., Searles, R., Cheung, M. S., & Hernandez, O. — Publication: Softwarization for evolving hardware. SPIE, 138–145.

 

  • Diaz, J. M., Pophale, S., Hernandez, O., Bernholdt, D. E., & Chandrasekaran, S. — Publication: OpenMP 4.5 validation suite. OpenMP Workshop, 82–95.

 

  • Chandrasekaran, S., & Stahlberg, E. — Publication: Computational approaches for cancer. BMC Bioinformatics, 19(Suppl 18), 487.

 

  • Chandrasekaran, S., & Peña, A. J. — Publication: Special issue on heterogeneous computing. Parallel Computing, 77, 125–127.

 

2017

 

  • Wang, C., Chandrasekaran, S., & Chapman, B. — Publication: Data layout transformation for sparse FFT. Irregular Applications Workshop, 1–4.

 

  • Chandrasekaran, S. — Publication: Introduction to AsHES Workshop. IPDPS Workshops, 660.

 

  • Wolfe, M., Lee, S., Kim, J., Tian, X., Xu, R., Chapman, B., & Chandrasekaran, S. — Publication: Implementing OpenACC data model. IPDPS Workshops, 662–672.

 

  • Chandrasekaran, S., Xu, R., & Chapman, B. — Publication: Using OpenACC for stencil and Feldkamp algorithms. In Parallel Programming With OpenACC, 147–166.

 

  • Pino, S., Pollock, L., & Chandrasekaran, S. — Publication: Translating OpenMP to OpenACC. IPDPS Workshops, 673–682.

 

2016

 

  • Zhu, S., Chandrasekaran, S., Sun, P., Chapman, B., Winter, M., & Schuele, T. — Publication: Exploring task parallelism. Euro-Par (European Conference on Parallel Processing), 697–708.

 

  • Wang, C., Chandrasekaran, S., & Chapman, B. — Publication: cusFFT: Sparse FFT on GPUs. IPDPS, 963–972.

 

  • Tian, X., Xu, R., Yan, Y., Eachempati, D., Chandrasekaran, S., & Chapman, B. — Publication: Compiler transformation of nested loops. Concurrency and Computation, 28(2), 537–556.

 

  • Searles, R., Herbein, S., & Chandrasekaran, S. — Publication: Graph analytics framework. WACCPD Workshop, 79–88.

 

2015

 

  • Chandrasekaran, S. — Publication: PLC Introduction and Committees. IPDPS Workshops, 656–657.

 

  • Sun, P., Chandrasekaran, S., Chapman, B., & Holt, J. — Publication: Portable mapping of OpenMP to multicore embedded systems. LCTES Conference, 153–162.

 

  • Chandrasekaran, S., Chapman, B. M., Tian, X., & Yan, Y. — Publication: Programming models for manycore architectures. Scientific Programming, 376317:1.

 

  • Xu, R., Chandrasekaran, S., Tian, X., & Chapman, B. — Publication: Multi-GPU support using directive-based programming. Scientific Programming, 621730.

 

2014

 

  • Wang, C., Xu, R., Chandrasekaran, S., Chapman, B., & Hernandez, O. — Publication: A validation testsuite for OpenACC 1.0. IPDPS Workshops, 1407–1416.

 

  • Xu, R., Tian, X., Yan, Y., Chandrasekaran, S., & Chapman, B. — Publication: Reduction operations in parallel loops for GPGPUs. Programming Models Workshop, 10–20.

 

  • Xu, R., Tian, X., Yan, Y., Chandrasekaran, S., & Chapman, B. — Publication: Accelerating Kirchhoff migration on GPU using directives. Accelerator Programming Workshop, 37–46.

 

  • Sun, P., Chandrasekaran, S., & Chapman, B. — Publication: Targeting heterogeneous SoCs using MCAPI. SRC TECHCON.

 

2013

 

  • Chandrasekaran, S., Shanbagh, S., Jayaraman, R., Maskell, D. L., & Cheah, H. Y. — Publication: C2FPGA—A dependency-timing graph design methodology. Journal of Parallel and Distributed Computing, 73(11), 1417–1429.

 

  • Tian, X., Xu, R., Yan, Y., Yun, Z., Chandrasekaran, S., & Chapman, B. — Publication: Compiling a high-level directive-based programming model for GPGPUs. Languages and Compilers for Parallel Computing, 105–120.

 

  • Wang, C., Araya-Polo, M., Chandrasekaran, S., St-Cyr, A., Chapman, B., & Hohl, D. — Publication: Parallel sparse FFT. Irregular Applications Workshop, 1–8.

 

  • Wang, C., Chandrasekaran, S., Chapman, B., & Holt, J. — Publication: libEOMP: A portable OpenMP runtime library. Programming Models Workshop, 83–92.

 

  • Xu, R., Tian, X., Chandrasekaran, S., Yan, Y., & Chapman, B. — Publication: NAS parallel benchmarks for GPGPUs. Languages and Compilers for Parallel Computing, 67–81.

 

2012

 

  • Xu, R., Chandrasekaran, S., Chapman, B., & Eick, C. F. — Publication: Directive-based programming models for scientific applications—a comparison. SC Companion, 1–9.

 

  • Ghosh, S., Chandrasekaran, S., & Chapman, B. — Publication: Energy analysis of parallel scientific kernels on multiple GPUs. Symposium on Application Accelerators in HPC, 54–63.

 

  • Huang, L., Stotzer, E., Yi, H., Chapman, B., & Chandrasekaran, S. — Publication: Parallelizing ultrasound image processing using OpenMP. IEEE Global High Tech Congress on Electronics, 131–138.

 

  • Wang, C., Chandrasekaran, S., & Chapman, B. — Publication: An OpenMP 3.1 validation testsuite. International Workshop on OpenMP, 237–249.

 

2011

 

  • Stahlberg, E., Steinke, T., Smith, M. C., Chandrasekaran, S., & Chapman, B. — Publication: Heterogeneous Accelerated Bioinformatics—Perspectives for Cancer Research. ERSA Conference Proceedings, 1.

 

2010

 

  • Chandrasekaran, S., Shanbagh, S., & Maskell, D. L. — Publication: A dependency graph based methodology for parallelizing HLL applications on FPGA. FPGA (ACM/SIGDA International Symposium), p. 286.

 

2008

 

  • Huck, K. A., Hernandez, O., Bui, V., Chandrasekaran, S., Chapman, B., Malony, A. D., McInnes, L. C., & Norris, B. — Publication: Capturing performance knowledge for automated analysis. SC'08: Proceedings of the ACM/IEEE Conference on Supercomputing, 1–10.

 

2007

 

  • Chandrasekaran, S., Hernandez, O., Maskell, D., Chapman, B., & Bui, V. — Publication: Compilation and parallelization techniques with tool support to realize sequence alignment algorithm on FPGA and multicore. Workshop on New Horizons in Compilers.