2018
“Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms,”
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Best Paper Award, Vancouver, BC, Canada, IEEE, May 2018.
DOI: 10.1109/IPDPSW.2018.00127 
(899.3 KB)
(899.3 KB)
“Evaluation of Dataflow Programming Models for Electronic Structure Theory,”
Concurrency and Computation: Practice and Experience: Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1–20, May 2018.
DOI: 10.1002/cpe.4490 (1.69 MB)
(1.69 MB)
“Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU Clusters,”
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, BC, Canada, IEEE, May 2018.
(1.37 MB)
(1.37 MB)
“Data Movement Interfaces to Support Dataflow Runtimes,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-03: University of Tennessee, May 2018.
(210.94 KB)
(210.94 KB)
“Accelerating the SVD Bi-Diagonalization of a Batch of Small Matrices using GPUs,”
Journal of Computational Science, vol. 26, pp. 237–245, May 2018.
DOI: 10.1016/j.jocs.2018.01.007 (2.18 MB)
(2.18 MB)
“Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,”
Parallel Computing, vol. 74, pp. 3–18, May 2018.
DOI: 10.1016/j.parco.2017.10.004 (1.34 MB)
(1.34 MB)
“Batched One-Sided Factorizations of Tiny Matrices Using GPUs: Challenges and Countermeasures,”
Journal of Computational Science, vol. 26, pp. 226–236, May 2018.
DOI: 10.1016/j.jocs.2018.01.005 (3.73 MB)
(3.73 MB)
“Budget-Aware Scheduling Algorithms for Scientific Workflows with Stochastic Task Weights on Heterogeneous IaaS Cloud Platforms,”
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Vancouver, BC, Canada, IEEE, May 2018.
DOI: 10.1109/IPDPSW.2018.00014 (1.31 MB)
(1.31 MB)
“A Guide for Achieving High Performance with Very Small Matrices on GPUs: A Case Study of Batched LU and Cholesky Factorizations,”
IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 5, pp. 973–984, May 2018.
DOI: 10.1109/TPDS.2017.2783929 (832.92 KB)
(832.92 KB)
PAPI: Counting outside the Box
, Barcelona, Spain, 8th JLESC Meeting, April 2018.
MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR)
, Washington, DC, NSF PI Meeting, Poster, April 2018.
DOI: 10.6084/m9.figshare.6174143.v3 (2.4 MB)
(2.4 MB)
“Bidiagonal SVD Computation via an Associated Tridiagonal Eigenproblem,”
LAPACK Working Note, no. LAWN 295, ICL-UT-18-02: University of Tennessee, April 2018.
(1.53 MB)
(1.53 MB)
“Investigating Power Capping toward Energy-Efficient Scientific Applications,”
Concurrency Computation: Practice and Experience, vol. 2018, issue e4485, pp. 1-14, April 2018.
DOI: 10.1002/cpe.4485 (1.2 MB)
(1.2 MB)
“Parallel BLAS Performance Report,”
SLATE Working Notes, no. 05, ICL-UT-18-01: University of Tennessee, April 2018.
(4.39 MB)
(4.39 MB)
Harnessing GPU's Tensor Cores Fast FP16 Arithmetic to Speedup Mixed-Precision Iterative Refinement Solvers and Achieve 74 Gflops/Watt on Nvidia V100
, San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.
(2.96 MB)
(2.96 MB)
Production Implementations of Pipelined & Communication-Avoiding Iterative Linear Solvers
, Tokyo, Japan, SIAM Conference on Parallel Processing for Scientific Computing, March 2018.
(2.34 MB)
(2.34 MB)
“Optimization and Performance Evaluation of the IDR Iterative Krylov Solver on GPUs,”
The International Journal of High Performance Computing Applications, vol. 32, no. 2, pp. 220–230, March 2018.
DOI: 10.1177/1094342016646844 (2.08 MB)
(2.08 MB)
Tensor Contractions using Optimized Batch GEMM Routines
, San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.
(1.64 MB)
(1.64 MB)
Accelerating Linear Algebra with MAGMA
, Knoxville, TN, ECP Annual Meeting 2018, Tutorial, February 2018.
(35.27 MB)
(35.27 MB)
“Incomplete Sparse Approximate Inverses for Parallel Preconditioning,”
Parallel Computing, vol. 71, pp. 1–22, January 2018.
DOI: 10.1016/j.parco.2017.10.003 (1.24 MB)
(1.24 MB) 
