Electrical & Computer Engineering
Parent: College of Engineering
eScholarship stats: Breakdown by Item for September through December, 2024
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
8r5848vp | RXMesh: A GPU Mesh Data Structure | 143 | 58 | 85 | 40.6% |
0x86w4w1 | Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann Method | 136 | 88 | 48 | 64.7% |
1sm051d2 | Dynamic Mesh Processing on the GPU | 123 | 59 | 64 | 48.0% |
6rt535s6 | Building a Performance Model for Deep Learning Recommendation Model Training on GPUs | 59 | 3 | 56 | 5.1% |
7j96s061 | Maximum Clique Enumeration on the GPU | 57 | 16 | 41 | 28.1% |
9fz7k633 | Neon: A Multi-GPU Programming Model for Grid-based Computations | 55 | 24 | 31 | 43.6% |
48j4k7np | Dynamic Graphs on the GPU | 46 | 14 | 32 | 30.4% |
3v12f7dn | Quotient Filters: Approximate Membership Queries on the GPU | 43 | 9 | 34 | 20.9% |
5qd0r4ws | Parallel Algorithms and Dynamic Data Structures on the Graphics Processing Unit: a warp-centric approach | 38 | 5 | 33 | 13.2% |
7dc8d5vb | Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset | 34 | 4 | 30 | 11.8% |
65t741zg | GPU LSM: A Dynamic Dictionary Data Structure for the GPU | 32 | 4 | 28 | 12.5% |
4sk284kw | Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection | 28 | 12 | 16 | 42.9% |
6kp4p18t | Graph Coloring on the GPU | 28 | 14 | 14 | 50.0% |
37j8j27d | High-Performance Linear Algebra-based Graph Framework on the GPU | 26 | 11 | 15 | 42.3% |
9v75738g | Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs | 23 | 4 | 19 | 17.4% |
2p48q0zg | A Dynamic Hash Table for the GPU | 22 | 3 | 19 | 13.6% |
9bd842z6 | Scalable Breadth-First Search on a GPU Cluster | 20 | 2 | 18 | 10.0% |
9vm907zv | High Efficiency Micromachined Sub-THz Channels for Low Cost Interconnect for Planar Integrated Circuits | 17 | 3 | 14 | 17.6% |
8413c9hb | Extension of the Hot-Switching Reliability of RF-MEMS Switches Using A Series ContactProtection Technique | 8 | 0 | 8 | 0.0% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.