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Vaibhav Sundriyal

Researcher at Old Dominion University

Publications -  30
Citations -  872

Vaibhav Sundriyal is an academic researcher from Old Dominion University. The author has contributed to research in topics: Frequency scaling & Energy consumption. The author has an hindex of 12, co-authored 28 publications receiving 470 citations. Previous affiliations of Vaibhav Sundriyal include Iowa State University & Ames Laboratory.

Papers
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Journal ArticleDOI

Recent developments in the general atomic and molecular electronic structure system.

TL;DR: A discussion of many of the recently implemented features of GAMESS (General Atomic and Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library associated with GAMESS) is presented, which include fragmentation methods, hybrid MPI/OpenMP approaches to Hartree-Fock, and resolution of the identity second order perturbation theory.
Journal ArticleDOI

Joint frequency scaling of processor and DRAM

TL;DR: A novel runtime system that scales the frequency of both processor and DRAM-based on the performance and power models, also proposed here, and may obtain total energy savings both for memory- and compute-intensive applications.
Book ChapterDOI

Per-call energy saving strategies in all-to-all communications

TL;DR: In this work, two implementations of the all-to-all collective operations are studied as to their augmentation with energy saving strategies on the per-call basis.
Proceedings ArticleDOI

Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications

TL;DR: This paper presents energy consumption characteristics of two Self-Consistent Field method implementations in GAMESS, which radically differ in their computer resource usages and serves as verification for the proposed general energy savings model.
Journal ArticleDOI

Automatic runtime frequency-scaling system for energy savings in parallel applications

TL;DR: A novel runtime system that maximizes energy saving by selecting appropriate values for DVFS and throttling in parallel applications and applies frequency scaling considering both the CPU offload, provided by the network-interface card, and the architectural stalls during computation is proposed.