Electrical & Computer Engineering
Parent: College of Engineering
eScholarship stats: Breakdown by Item for April through July, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 1sm051d2 | Dynamic Mesh Processing on the GPU | 975 | 483 | 492 | 49.5% |
| 0x86w4w1 | Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann Method | 644 | 376 | 268 | 58.4% |
| 8r5848vp | RXMesh: A GPU Mesh Data Structure | 415 | 229 | 186 | 55.2% |
| 3v12f7dn | Quotient Filters: Approximate Membership Queries on the GPU | 301 | 52 | 249 | 17.3% |
| 9fz7k633 | Neon: A Multi-GPU Programming Model for Grid-based Computations | 277 | 78 | 199 | 28.2% |
| 6rt535s6 | Building a Performance Model for Deep Learning Recommendation Model Training on GPUs | 255 | 92 | 163 | 36.1% |
| 48j4k7np | Dynamic Graphs on the GPU | 226 | 72 | 154 | 31.9% |
| 2p48q0zg | A Dynamic Hash Table for the GPU | 213 | 50 | 163 | 23.5% |
| 7j96s061 | Maximum Clique Enumeration on the GPU | 212 | 72 | 140 | 34.0% |
| 9v75738g | Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs | 205 | 61 | 144 | 29.8% |
| 5qd0r4ws | Parallel Algorithms and Dynamic Data Structures on the Graphics Processing Unit: a warp-centric approach | 203 | 107 | 96 | 52.7% |
| 5mv1s1gg | Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms | 191 | 72 | 119 | 37.7% |
| 4sk284kw | Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection | 189 | 85 | 104 | 45.0% |
| 7dc8d5vb | Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset | 189 | 78 | 111 | 41.3% |
| 37j8j27d | High-Performance Linear Algebra-based Graph Framework on the GPU | 184 | 88 | 96 | 47.8% |
| 6kp4p18t | Graph Coloring on the GPU | 168 | 46 | 122 | 27.4% |
| 65t741zg | GPU LSM: A Dynamic Dictionary Data Structure for the GPU | 158 | 43 | 115 | 27.2% |
| 8413c9hb | Extension of the Hot-Switching Reliability of RF-MEMS Switches Using A Series ContactProtection Technique | 155 | 123 | 32 | 79.4% |
| 9bd842z6 | Scalable Breadth-First Search on a GPU Cluster | 146 | 41 | 105 | 28.1% |
| 9vm907zv | High Efficiency Micromachined Sub-THz Channels for Low Cost Interconnect for Planar Integrated Circuits | 117 | 58 | 59 | 49.6% |
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