Institute for Data Analysis and Visualization
Parent: UC Davis
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 9ns2d70c | A Survey of General-Purpose Computation on Graphics Hardware | 518 | 283 | 235 | 54.6% |
| 445536d6 | Real-Time Parallel Hashing on the GPU | 399 | 193 | 206 | 48.4% |
| 7b441610 | Fast Tridiagonal Solvers on the GPU | 389 | 92 | 297 | 23.7% |
| 3d10j9jw | The CIPIC HRTF Database | 379 | 69 | 310 | 18.2% |
| 7657d8h3 | Weights for Computing Vertex Normals from Facet Normals | 373 | 63 | 310 | 16.9% |
| 3j76d3td | A Study of Persistent Threads Style GPU Programming for GPGPU Workloads | 332 | 150 | 182 | 45.2% |
| 40v513qg | Resolution Matched Shadow Maps | 315 | 89 | 226 | 28.3% |
| 4kd304p7 | Is the Good News about Compliance Good News for Cooperation? | 298 | 151 | 147 | 50.7% |
| 4k5991zk | Evolutionary Morphing | 295 | 155 | 140 | 52.5% |
| 6p65k0mr | Data Point Selection for Piecewise Linear Curve Approximation | 287 | 247 | 40 | 86.1% |
| 8051p6nd | Scan Primitives for GPU Computing | 286 | 48 | 238 | 16.8% |
| 8vx5n1z8 | A Survey of Large High-Resolution Display Technologies, Techniques, and Applications | 278 | 224 | 54 | 80.6% |
| 9r15d4zk | Task Management for Irregular-Parallel Workloads on the GPU | 275 | 27 | 248 | 9.8% |
| 0ts6q5k4 | Identification of Outliers in Multivariate Data | 258 | 207 | 51 | 80.2% |
| 5m89f85p | Shell Maps | 258 | 111 | 147 | 43.0% |
| 9hv9327j | GPGPU parallel algorithms for structured-grid CFD codes | 255 | 33 | 222 | 12.9% |
| 17p025zk | The Asymptotic Decider: Rosolving the Ambiguity in Marching Cubes | 239 | 41 | 198 | 17.2% |
| 8d88d3qc | An Ocularist's Approach to Human Iris Synthesis | 238 | 84 | 154 | 35.3% |
| 8gp0x7tc | A Quantitative Performance Analysis Model for GPU Architectures | 232 | 63 | 169 | 27.2% |
| 41r921h1 | The Power Crust, Unions of Balls, and the Medial Axis Transform | 221 | 23 | 198 | 10.4% |
| 8xv0237z | Efficient Maximal Poisson-Disk Sampling | 219 | 88 | 131 | 40.2% |
| 2mg223r5 | Lpics: A Hardware-Accelerated Relighting Engine for Computer Cinematography | 212 | 34 | 178 | 16.0% |
| 1750k9st | Out-of-core Data Management for Path Tracing on Hybrid Resources | 206 | 60 | 146 | 29.1% |
| 2c93m5bh | Kinetic Sweep and Prune for Collision Detection | 205 | 22 | 183 | 10.7% |
| 7bs1x3qn | Parallel Lossless Data Compression on the GPU | 201 | 55 | 146 | 27.4% |
| 7bv3v414 | The Power Crust | 201 | 47 | 154 | 23.4% |
| 0cr9d23p | A Structural Model for Binaural Sound Synthesis | 199 | 52 | 147 | 26.1% |
| 4nq8h63h | A Survey of General-Purpose Computation on Graphics Hardware | 190 | 85 | 105 | 44.7% |
| 5rw127tw | Multi-GPU MapReduce on GPU Clusters | 190 | 29 | 161 | 15.3% |
| 0kb7r9m9 | Range Dependence of the Response of a Spherical Head Model | 182 | 91 | 91 | 50.0% |
| 2514r4h1 | Efficient Parallel Merge Sort for Fixed and Variable Length Keys | 179 | 38 | 141 | 21.2% |
| 41r178s4 | Spatialized Audio Rendering for Immersive Virtual Environments | 173 | 106 | 67 | 61.3% |
| 6rw8t0xq | The Blue-C Integrating Real Humans into a Networked Immersive Environment | 172 | 9 | 163 | 5.2% |
| 9dd6f376 | Opening the Black Box - Data Driven Visualization of Neural Networks | 168 | 11 | 157 | 6.5% |
| 6j57h5zw | A Work-Efficient Step-Efficient Prefix Sum Algorithm | 166 | 48 | 118 | 28.9% |
| 6472w2f4 | Flow Visualization Using Moving Textures | 165 | 41 | 124 | 24.8% |
| 2s8621c7 | Particle-Based Simulation of Fluids | 161 | 38 | 123 | 23.6% |
| 6dw570zx | Visualizing Visualization: A Model and Framework for Visualization Exploration | 161 | 61 | 100 | 37.9% |
| 2cq3w5dq | Objective Picture Quality Scale (PQS) For Image Coding | 160 | 37 | 123 | 23.1% |
| 443000s4 | The NEES geotechnical centrifuge at UC Davis | 156 | 75 | 81 | 48.1% |
| 2xt3q8ts | Unsteady Turbulent Simulations on a Cluster of Graphics Processors | 153 | 35 | 118 | 22.9% |
| 1mr768b6 | Dynamic Adaptive Shadow Maps on Graphics Hardware | 151 | 33 | 118 | 21.9% |
| 21h630fh | Constructing Hierarchies for Triangle Meshes | 151 | 35 | 116 | 23.2% |
| 7tm336w0 | Real-Time Optimal Adaptation for Planetary Geometry and Texture: 4-8 Tile Hierarchies | 151 | 56 | 95 | 37.1% |
| 54c1743r | Visualization of Adaptive Mesh Refinement Data and Topology-based Exploration of Volume Data | 149 | 102 | 47 | 68.5% |
| 7fv9s4s4 | Fast Deformable Registration on the GPU: A CUDA Implementation of Demons | 146 | 84 | 62 | 57.5% |
| 9s4769qq | Visualizing DIII-D Tokarnak Magnetic Field Lines | 146 | 15 | 131 | 10.3% |
| 58j4v6f8 | GPU-to-CPU Callbacks | 145 | 31 | 114 | 21.4% |
| 8js4v3f7 | Efficient Computation of Sum-products on GPUs Through Software-Managed Cache | 144 | 91 | 53 | 63.2% |
| 5nm063xk | Interactive Depth of Field Using Simulated Diffusion on a GPU | 143 | 29 | 114 | 20.3% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.