Ivan S. Ufimtsev

Computer Networks and Communications · 2008–2013

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 12 citations into it; #8,582 of 9,886 by trust here, #4,757 by citations
• Hardware and Architecture — 12 citations into it; #1,263 of 1,551 by trust here, #618 by citations
• Atomic and Molecular Physics, and Optics — 8 citations into it; #932 of 7,135 by trust here, #3,027 by citations
• Materials Chemistry — 8 citations into it
• Molecular Biology — 8 citations into it; #14,090 of 17,773 by trust here, #12,227 by citations
• Spectroscopy — 6 citations into it; #423 of 1,674 by trust here, #910 by citations

Whom Ivan S. Ufimtsev trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. M. Harvey
2. John E. Stone
3. S. Plimpton
4. Joshua A. Anderson
5. Kayvon Fatahalian

Who trusts Ivan S. Ufimtsev overall

1. Javier Galego
2. Min Zheng
3. John R. Nickolls
4. C. Climent
5. Ari Harju
6. F. García-Vidal
7. Jeffrey R. Reimers
8. William (Bill) J. Dally
9. J. Feist
10. Topi Siro

Papers from Ivan S. Ufimtsev's perspective

Ordered by how strongly the researchers Ivan S. Ufimtsev trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast parallel algorithms for short-range molecular dynamics
2. Accelerating molecular modeling applications with graphics processors (Journal of Computational Chemistry)
3. Sparse matrix solvers on the GPU: conjugate gradients and multigrid (ACM Transactions on Graphics)
4. A smooth particle mesh Ewald method
5. General purpose molecular dynamics simulations fully implemented on graphics processing units (Journal of Computational Physics)
6. Brook for GPUs: Stream Computing on Graphics Hardware (ACM Transactions on Graphics)
7. Accelerating Molecular Dynamic Simulation on Graphics Processing Units (Journal of Computational Chemistry)
8. Scalable molecular dynamics with NAMD
9. Parallel Computing Experiences with CUDA (IEEE Micro)
10. Benchmarking GPUs to tune dense linear algebra

Their papers

• GPU-Accelerated Molecular Modeling Coming Of Age (2010) — 419 citations
• Generating Efficient Quantum Chemistry Codes for Novel Architectures. (2013) — 366 citations
• Quantum Chemistry on Graphical Processing Units. 3. Analytical Energy Gradients, Geometry Optimization, and First Principles Molecular Dynamics. (2009) — 830 citations
• Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation. (2009) — 406 citations
• Quantum Chemistry on Graphical Processing Units. 1. Strategies for Two-Electron Integral Evaluation. (2008) — 684 citations