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Du, P., S. Tomov, and J. Dongarra, Providing GPU Capability to LU and QR within the ScaLAPACK Framework,” University of Tennessee Computer Science Technical Report (also LAWN 272), no. UT-CS-12-699, September 2012.  (7.48 MB)
Arnold, D., W. Lee, J. Dongarra, and M. Wheeler, Providing Infrastructure and Interface to High Performance Applications in a Distributed Setting,” ASTC-HPC 2000, Washington, DC, April 2000.  (96.04 KB)
Tsai, Y-H. M., T. Cojean, and H. Anzt, Providing performance portable numerics for Intel GPUs,” Concurrency and Computation: Practice and Experience, vol. 17, October 2022.  (3.16 MB)
Danalis, A., G. Bosilca, A. Bouteiller, T. Herault, and J. Dongarra, PTG: An Abstraction for Unhindered Parallelism,” International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC), New Orleans, LA, IEEE Press, November 2014.  (480.05 KB)
Dongarra, J., J. Kurzak, P. Luszczek, and I. Yamazaki, PULSAR Users’ Guide, Parallel Ultra-Light Systolic Array Runtime,” University of Tennessee EECS Technical Report, no. UT-EECS-14-733: University of Tennessee, November 2014.  (561.56 KB)
Jagode, H., and A. Danalis, PULSE: PAPI Unifying Layer for Software-Defined Events (Poster) , Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, February 2020.  (1.86 MB)
Schuchart, J., P. Nookala, T. Herault, E. F. Valeev, and G. Bosilca, Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG,” 2022 IEEE International Conference on Cluster Computing (CLUSTER), Heidelberg, Germany, IEEE, September 2022.
Nance, D., S. Tomov, and K. Wong, A Python Library for Matrix Algebra on GPU and Multicore Architectures,” 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Denver, CO, IEEE, December 2022.  (414.36 KB)

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