Nicholas Chaimov

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 9

Top Topics

Scaling Function

Top Venues

Int. J. High Perform. Comput. Appl.

Publications

Nicholas Chaimov, Sameer Shende, Allen D. Malony
Multi-Platform SYCL Profiling with TAU. IWOCL (2020)
Nicholas Chaimov, Sameer Shende, Allen D. Malony, Neena Imam
Identifying Optimization Opportunities Using Memory Access Tracing in OpenSHMEM Runtimes with the TAU Performance System. IPDPS Workshops (2020)
Sameer Shende, Nicholas Chaimov, Allen D. Malony, Neena Imam
Multi-Level Performance Instrumentation for Kokkos Applications Using TAU. ProTools@SC (2019)
Allen D. Malony, Srinivasan Ramesh, Kevin A. Huck, Nicholas Chaimov, Sameer Shende
A Plugin Architecture for the TAU Performance System. ICPP (2019)
Nicholas Chaimov, Sameer Shende, Allen D. Malony, Manjunath Gorentla Venkata, Neena Imam
Tracking Memory Usage in OpenSHMEM Runtimes with the TAU Performance System. OpenSHMEM (2018)
Nicholas Chaimov, Khaled Z. Ibrahim, Samuel Williams, Costin Iancu
Reaching bandwidth saturation using transparent injection parallelization. Int. J. High Perform. Comput. Appl. 31 (5) (2017)
Nicholas Chaimov, Allen D. Malony, Shane Canon, Costin Iancu, Khaled Z. Ibrahim, Jay Srinivasan
Scaling Spark on HPC Systems. HPDC (2016)
Nicholas Chaimov, Allen D. Malony, Costin Iancu, Khaled Z. Ibrahim
Scaling Spark on Lustre. ISC Workshops (2016)
Md Abdullah Shahneous Bari, Nicholas Chaimov, Abid Muslim Malik, Kevin A. Huck, Barbara M. Chapman, Allen D. Malony, Osman Sarood
ARCS: Adaptive Runtime Configuration Selection for Power-Constrained OpenMP Applications. CLUSTER (2016)
Kevin A. Huck, Allan Porterfield, Nicholas Chaimov, Hartmut Kaiser, Allen D. Malony, Thomas L. Sterling, Rob Fowler
An Autonomic Performance Environment for Exascale. Supercomput. Front. Innov. 2 (3) (2015)
Nicholas Chaimov, Khaled Z. Ibrahim, Samuel Williams, Costin Iancu
Exploiting communication concurrency on high performance computing systems. PMAM@PPoPP (2015)
Robert V. Lim, Allen D. Malony, Boyana Norris, Nicholas Chaimov
Identifying Optimization Opportunities Within Kernel Execution in GPU Codes. Euro-Par Workshops (2015)
Nicholas Chaimov, Boyana Norris, Allen D. Malony
Toward multi-target autotuning for accelerators. ICPADS (2014)
Nicholas Chaimov, Scott Biersdorff, Allen D. Malony
Tools for machine-learning-based empirical autotuning and specialization. Int. J. High Perform. Comput. Appl. 27 (4) (2013)