Computing Sciences
Parent: Lawrence Berkeley National Laboratory
eScholarship stats: Breakdown by Item for October, 2024 through January, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 78j3c9v4 | 2020 High Energy Physics Network Requirements Review Final Report | 476 | 194 | 282 | 40.8% |
| 3h26p692 | Commentary: The Materials Project: A materials genome approach to accelerating materials innovation | 467 | 57 | 410 | 12.2% |
| 5x5563kx | ARIES Network Requirements Review | 467 | 151 | 316 | 32.3% |
| 0wm478c4 | NOAA National Centers for Environmental Information Fisheries Acoustics Archive Network Deep Dive | 426 | 167 | 259 | 39.2% |
| 9zn3q96n | Chelation and stabilization of berkelium in oxidation state plus IV | 402 | 30 | 372 | 7.5% |
| 3jj0h54n | Basic Energy Sciences Network Requirements Review (Final Report) | 398 | 158 | 240 | 39.7% |
| 8d5213bv | Fusion Energy Sciences Network Requirements Review (Final Report) | 392 | 163 | 229 | 41.6% |
| 65h4t5zc | High Energy Physics Network Requirements Review: One-Year Update | 380 | 155 | 225 | 40.8% |
| 7fh8p0mw | University of Central Florida Campus-Wide Deep Dive | 379 | 158 | 221 | 41.7% |
| 4sf7n3pc | Nuclear Physics Network Requirements Review: One-Year Update | 373 | 159 | 214 | 42.6% |
| 1196z33x | Arcadia University Bioinformatics Application Deep Dive | 365 | 157 | 208 | 43.0% |
| 99c4v5xh | University of Wisconsin-Madison Campus-Wide Deep Dive | 365 | 165 | 200 | 45.2% |
| 0x07247x | Purdue University Application Deep Dive | 364 | 154 | 210 | 42.3% |
| 3db1k0hf | Trinity University Campus-Wide Deep Dive | 361 | 157 | 204 | 43.5% |
| 6t58p052 | University of Cincinnati Campus-Wide Deep Dive | 357 | 149 | 208 | 41.7% |
| 5d65w10j | St. Mary’s University Requirements Analysis Report | 356 | 148 | 208 | 41.6% |
| 472814pk | Great Plains Network - Kansas State University Agronomy Application Deep Dive | 354 | 155 | 199 | 43.8% |
| 00j3z3rd | AMReX: a framework for block-structured adaptive mesh refinement | 352 | 335 | 17 | 95.2% |
| 0cv1p1nc | GPU Computing | 324 | 44 | 280 | 13.6% |
| 30v0j6cc | Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis | 298 | 196 | 102 | 65.8% |
| 46523263 | Engineering high-coherence superconducting qubits | 295 | 84 | 211 | 28.5% |
| 4mj3d1jb | The MyESnet Portal: Making the Network Visible | 276 | 126 | 150 | 45.7% |
| 744479dp | Storage 2020: A Vision for the Future of HPC Storage | 241 | 149 | 92 | 61.8% |
| 1b51k20d | Nested Tracking Graphs | 210 | 20 | 190 | 9.5% |
| 32q554jm | A Full-Stack Exploration of Language-Based Parallelism in Fortran 2023 | 210 | 23 | 187 | 11.0% |
| 1zf6h82v | Just Write Fortran: Experiences with a Language-Based Alternative to MPI+X | 196 | 69 | 127 | 35.2% |
| 9wn3w79b | Advances in molecular quantum chemistry contained in the Q-Chem 4 program package | 196 | 179 | 17 | 91.3% |
| 1gd059hj | UPC++: A High-Performance Communication Framework for Asynchronous Computation | 195 | 16 | 179 | 8.2% |
| 3q8590fz | GASNet-EX RMA Communication Performance on Recent Supercomputing Systems | 195 | 7 | 188 | 3.6% |
| 0xg7b704 | GASNet-EX: A High-Performance, Portable Communication Library for Exascale | 192 | 24 | 168 | 12.5% |
| 8sf4t5x8 | Voro++: a three-dimensional Voronoi cell library in C++ | 192 | 49 | 143 | 25.5% |
| 6cb1q6rz | Analyzing and Implementing GPU Hash Tables | 189 | 8 | 181 | 4.2% |
| 67b710sj | LD Score regression distinguishes confounding from polygenicity in genome-wide association studies | 159 | 142 | 17 | 89.3% |
| 82w4r6j3 | Voronoi cell analysis: The shapes of particle systems | 154 | 138 | 16 | 89.6% |
| 7jg5d1zn | Optimizing connected component labeling algorithms | 145 | 28 | 117 | 19.3% |
| 2228m7tq | Parallel Runtime Interface for Fortran (PRIF): A Multi-Image Solution for LLVM Flang | 144 | 29 | 115 | 20.1% |
| 8qs8x847 | Accurate Projection Methods for the Incompressible Navier-Stokes Equations”, | 144 | 137 | 7 | 95.1% |
| 3nx4d18c | Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data | 141 | 60 | 81 | 42.6% |
| 8r5848vp | RXMesh: A GPU Mesh Data Structure | 140 | 58 | 82 | 41.4% |
| 58j4v6f8 | GPU-to-CPU Callbacks | 136 | 18 | 118 | 13.2% |
| 1pw524ws | Assessing the observed impact of anthropogenic climate change | 135 | 13 | 122 | 9.6% |
| 5z10f2nc | Detection and Attribution of Observed Impacts | 134 | 38 | 96 | 28.4% |
| 27f7564x | Caffeine: CoArray Fortran Framework of Efficient Interfaces to Network Environments | 132 | 18 | 114 | 13.6% |
| 7fs4096t | RDMA vs. RPC for Implementing Distributed Data Structures | 132 | 11 | 121 | 8.3% |
| 59845876 | GASNet-EX Specification Collection, Revision 2024.5.0 | 130 | 16 | 114 | 12.3% |
| 9ns2d70c | A Survey of General-Purpose Computation on Graphics Hardware | 127 | 82 | 45 | 64.6% |
| 6ck8w479 | Comparative life cycle assessment of smartphone reuse: repurposing vs. refurbishment | 125 | 11 | 114 | 8.8% |
| 0qs3s709 | Performance Modeling: The Convolution Approach | 124 | 10 | 114 | 8.1% |
| 91d7r46p | GASNet-EX Performance Improvements Due to Specialization for the Cray Aries Network | 123 | 8 | 115 | 6.5% |
| 83b2r9mc | Efficient phase-factor evaluation in quantum signal processing | 122 | 48 | 74 | 39.3% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.