Institute for Data Analysis and Visualization
Parent: UC Davis
eScholarship stats: Breakdown by Item for March through June, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 9ns2d70c | A Survey of General-Purpose Computation on Graphics Hardware | 433 | 176 | 257 | 40.6% |
| 5m89f85p | Shell Maps | 420 | 196 | 224 | 46.7% |
| 3d10j9jw | The CIPIC HRTF Database | 395 | 74 | 321 | 18.7% |
| 4kd304p7 | Is the Good News about Compliance Good News for Cooperation? | 354 | 131 | 223 | 37.0% |
| 6p65k0mr | Data Point Selection for Piecewise Linear Curve Approximation | 332 | 270 | 62 | 81.3% |
| 3j76d3td | A Study of Persistent Threads Style GPU Programming for GPGPU Workloads | 300 | 118 | 182 | 39.3% |
| 445536d6 | Real-Time Parallel Hashing on the GPU | 292 | 201 | 91 | 68.8% |
| 8gp0x7tc | A Quantitative Performance Analysis Model for GPU Architectures | 272 | 101 | 171 | 37.1% |
| 41r178s4 | Spatialized Audio Rendering for Immersive Virtual Environments | 268 | 187 | 81 | 69.8% |
| 8051p6nd | Scan Primitives for GPU Computing | 260 | 69 | 191 | 26.5% |
| 9r15d4zk | Task Management for Irregular-Parallel Workloads on the GPU | 237 | 60 | 177 | 25.3% |
| 8d88d3qc | An Ocularist's Approach to Human Iris Synthesis | 229 | 121 | 108 | 52.8% |
| 7657d8h3 | Weights for Computing Vertex Normals from Facet Normals | 228 | 63 | 165 | 27.6% |
| 8xv0237z | Efficient Maximal Poisson-Disk Sampling | 228 | 130 | 98 | 57.0% |
| 40v513qg | Resolution Matched Shadow Maps | 224 | 88 | 136 | 39.3% |
| 4nq8h63h | A Survey of General-Purpose Computation on Graphics Hardware | 221 | 106 | 115 | 48.0% |
| 70n2379v | Extracting and Visualizing Topological Information from Large High-Dimensional Data Sets | 221 | 138 | 83 | 62.4% |
| 4k5991zk | Evolutionary Morphing | 217 | 74 | 143 | 34.1% |
| 9hv9327j | GPGPU parallel algorithms for structured-grid CFD codes | 207 | 48 | 159 | 23.2% |
| 9s4769qq | Visualizing DIII-D Tokarnak Magnetic Field Lines | 199 | 30 | 169 | 15.1% |
| 41r921h1 | The Power Crust, Unions of Balls, and the Medial Axis Transform | 197 | 53 | 144 | 26.9% |
| 54c1743r | Visualization of Adaptive Mesh Refinement Data and Topology-based Exploration of Volume Data | 195 | 128 | 67 | 65.6% |
| 5nm063xk | Interactive Depth of Field Using Simulated Diffusion on a GPU | 194 | 62 | 132 | 32.0% |
| 6dw570zx | Visualizing Visualization: A Model and Framework for Visualization Exploration | 194 | 95 | 99 | 49.0% |
| 0069231j | Generalized B-spline subdivision-surface wavelets for geometry compression | 192 | 62 | 130 | 32.3% |
| 0cr9d23p | A Structural Model for Binaural Sound Synthesis | 190 | 84 | 106 | 44.2% |
| 7b441610 | Fast Tridiagonal Solvers on the GPU | 186 | 74 | 112 | 39.8% |
| 7fv9s4s4 | Fast Deformable Registration on the GPU: A CUDA Implementation of Demons | 186 | 86 | 100 | 46.2% |
| 0vq7q87f | Fast, Memory-Efficient Cell Location in Unstructured Grids for Visualization | 185 | 95 | 90 | 51.4% |
| 0124g3df | 3D Video Recorder | 179 | 63 | 116 | 35.2% |
| 65c2x71h | Multi-GPU Volume Rendering using MapReduce | 178 | 106 | 72 | 59.6% |
| 1750k9st | Out-of-core Data Management for Path Tracing on Hybrid Resources | 176 | 69 | 107 | 39.2% |
| 2514r4h1 | Efficient Parallel Merge Sort for Fixed and Variable Length Keys | 170 | 62 | 108 | 36.5% |
| 5rw127tw | Multi-GPU MapReduce on GPU Clusters | 170 | 50 | 120 | 29.4% |
| 8js4v3f7 | Efficient Computation of Sum-products on GPUs Through Software-Managed Cache | 170 | 102 | 68 | 60.0% |
| 1vh356jv | Approximation and Visualization of Scientific Data Using Higher-order Elements | 168 | 103 | 65 | 61.3% |
| 4956q122 | A GPU Task-Parallel Model with Dependency Resolution | 168 | 72 | 96 | 42.9% |
| 985331m3 | Efficient Parallel Scan Algorithms for Many-core GPUs | 166 | 57 | 109 | 34.3% |
| 1mr768b6 | Dynamic Adaptive Shadow Maps on Graphics Hardware | 165 | 68 | 97 | 41.2% |
| 7rf421w9 | Elevation Localization and Head-Related Transfer Function Analysis at Low Frequencies | 165 | 75 | 90 | 45.5% |
| 9xk5f6mj | Accurate and Efficient Unions of Balls | 165 | 44 | 121 | 26.7% |
| 30q7x3mb | Glift: Generic Data Structures for Graphics Hardware | 164 | 115 | 49 | 70.1% |
| 9qq2h12n | Data Structures for Multiresolution Representation of Unstructured Meshes | 160 | 40 | 120 | 25.0% |
| 2s8621c7 | Particle-Based Simulation of Fluids | 159 | 65 | 94 | 40.9% |
| 4rc7z0d1 | Surface Reconstruction by Voronoi Filtering | 159 | 80 | 79 | 50.3% |
| 20j103rs | An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU | 158 | 65 | 93 | 41.1% |
| 3bk667xm | Dyadic Splines | 158 | 40 | 118 | 25.3% |
| 68n1g04j | Ray Divergence-Based Bundle Adjustment Conditioning for Multi-View Stereo | 158 | 42 | 116 | 26.6% |
| 7tm336w0 | Real-Time Optimal Adaptation for Planetary Geometry and Texture: 4-8 Tile Hierarchies | 158 | 64 | 94 | 40.5% |
| 21h630fh | Constructing Hierarchies for Triangle Meshes | 157 | 58 | 99 | 36.9% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.