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3. A three-phase workflow for general and expressive representations of nondeterminism in HPC applications. (November 2019)

4. Anatomy of machine learning algorithm implementations in MPI, Spark, and Flink. (January 2018)

5. BOAST: A metaprogramming framework to produce portable and efficient computing kernels for HPC applications. (January 2018)

6. Co-scheduling Amdahl applications on cache-partitioned systems. (January 2018)

9. DARE: Data-Access Aware Refresh via spatial-temporal application resilience on commodity servers. (January 2018)