15 citations · 39 across the 7 of their papers we have counts for
7 papers
Future Computing Platforms for Science in a Power Constrained Era
David Abdurachmanov, Peter Elmer, Giulio Eulisse +1
Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-wat…
Optimizing CMS build infrastructure via Apache Mesos
David Abdurachmanov, Alessandro Degano, Peter Elmer +3
The Offline Software of the CMS Experiment at the Large Hadron Collider (LHC) at CERN consists of 6M lines of in-house code, developed over a decade by nearly 1000 physicists, as w…
Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi
David Abdurachmanov, Brian Bockelman, Peter Elmer +3
Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a cr…
Techniques and tools for measuring energy efficiency of scientific software applications
David Abdurachmanov, Peter Elmer, Giulio Eulisse +7
The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy…
Power-aware applications for scientific cluster and distributed computing
David Abdurachmanov, Peter Elmer, Giulio Eulisse +7
The aggregate power use of computing hardware is an important cost factor in scientific cluster and distributed computing systems. The Worldwide LHC Computing Grid (WLCG) is a majo…
Explorations of the viability of ARM and Xeon Phi for physics processing
David Abdurachmanov, Kapil Arya, Josh Bendavid +9
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-processor for scientific computing. We describe our experience porting software to…