College of Engineering
Parent: UC Davis
eScholarship stats: Breakdown by Item for April through July, 2024
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
8r5848vp | RXMesh: A GPU Mesh Data Structure | 262 | 82 | 180 | 31.3% |
1sm051d2 | Dynamic Mesh Processing on the GPU | 188 | 98 | 90 | 52.1% |
0x86w4w1 | Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann Method | 176 | 105 | 71 | 59.7% |
9fz7k633 | Neon: A Multi-GPU Programming Model for Grid-based Computations | 120 | 27 | 93 | 22.5% |
9534w5x1 | Multi-Stage Delivery of Malware | 117 | 11 | 106 | 9.4% |
48j4k7np | Dynamic Graphs on the GPU | 111 | 27 | 84 | 24.3% |
65t741zg | GPU LSM: A Dynamic Dictionary Data Structure for the GPU | 111 | 8 | 103 | 7.2% |
830502mm | Use of Photron Cameras and TEMA Software to Measure 3D Displacements in Centrifuge Tests | 69 | 8 | 61 | 11.6% |
6rt535s6 | Building a Performance Model for Deep Learning Recommendation Model Training on GPUs | 66 | 8 | 58 | 12.1% |
2jf918dh | CSE-92-18 - An Evaluation of Feature Selection Methodsand Their Application to Computer Security | 65 | 10 | 55 | 15.4% |
3v12f7dn | Quotient Filters: Approximate Membership Queries on the GPU | 64 | 24 | 40 | 37.5% |
37j8j27d | High-Performance Linear Algebra-based Graph Framework on the GPU | 62 | 41 | 21 | 66.1% |
4sk284kw | Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection | 61 | 27 | 34 | 44.3% |
74986309 | Numerical modeling of soil liquefaction and lateral spreading using the SANISAND-Sf model in the LEAP experiments | 59 | 45 | 14 | 76.3% |
7dc8d5vb | Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset | 59 | 10 | 49 | 16.9% |
0227z2t1 | SANISAND-MSf: a sand plasticity model with memory surface and semifluidised state | 58 | 27 | 31 | 46.6% |
5rv3d8np | Effect of Anisotropic Consolidation on Cyclic Liquefaction Resistance of Granular Materials via 3D-DEM Modeling | 57 | 41 | 16 | 71.9% |
042876p3 | Effect of coefficient of uniformity on cyclic liquefaction resistance of granular materials | 55 | 16 | 39 | 29.1% |
6ww1c3bw | Parametrization and Effectiveness of Moving Target Defense Security Protections for Industrial Control Systems | 55 | 19 | 36 | 34.5% |
1xb249zt | Modeling Systems Using Side Channel Information | 54 | 11 | 43 | 20.4% |
6j27m45d | Extracting and visualizing topological information from large high-dimensional data sets | 51 | 10 | 41 | 19.6% |
0hc042kf | CENTRIFUGE PREDICTION OF EGRESS SYSTEM PERFORMANCE | 50 | 0 | 50 | 0.0% |
0p96v327 | DYNAMIC BEHAVIOR OF FOUNDATIONS: AN EXPERIMENTAL STUDY IN A CENTRIFUGE | 50 | 3 | 47 | 6.0% |
0b41q7v8 | Leveraging Security Metrics to Enhance System and Network Resilience | 49 | 10 | 39 | 20.4% |
9wd8g79f | Effects of pressure and flow rate on the efficiency and performance of autothermal reforming systems for hydrogen production | 49 | 10 | 39 | 20.4% |
0xj8f0s6 | Effect of particle shape on cyclic liquefaction resistance of granular materials | 48 | 32 | 16 | 66.7% |
7j96s061 | Maximum Clique Enumeration on the GPU | 47 | 10 | 37 | 21.3% |
5qd0r4ws | Parallel Algorithms and Dynamic Data Structures on the Graphics Processing Unit: a warp-centric approach | 45 | 16 | 29 | 35.6% |
5rj639x8 | Effects of inlet velocity and steam-to-methanol ratio on the phenomena of process intensification in protruded millisecond microchannel reactors | 42 | 19 | 23 | 45.2% |
9n3966b9 | Computational fluid dynamics and thermodynamic analysis of transport and reaction phenomena in autothermal reforming reactors for hydrogen production | 42 | 8 | 34 | 19.0% |
6kp4p18t | Graph Coloring on the GPU | 41 | 23 | 18 | 56.1% |
6p22t424 | Parametrization and Effectiveness of Moving Target Defense Security Protections within Industrial Control Systems | 41 | 11 | 30 | 26.8% |
0pn70122 | Molecular dynamics study of the thermal properties and phenomena of graphane and fluorographene | 40 | 18 | 22 | 45.0% |
3sf156w6 | Computational study of transport phenomena in microchannel reactors for hydrogen production by steam reforming | 40 | 15 | 25 | 37.5% |
9459p69n | Continuous and efficient production of hydrogen from methanol in protruded millisecond microchannel reactors for fuel cell applications | 39 | 9 | 30 | 23.1% |
0bg5p8ch | Generalizing Tanglegrams | 37 | 5 | 32 | 13.5% |
1363q7c9 | Fundamental characteristics of flow past an array of hemispherical protrusions in millisecond microchannel reactors | 37 | 11 | 26 | 29.7% |
1r37v116 | Roles of pre- and post-liquefaction stages in dynamic system response of liquefiable sand retained by a sheet-pile wall | 37 | 18 | 19 | 48.6% |
3z8926ks | Evolution vs. Intelligent Design in Program Patching | 36 | 13 | 23 | 36.1% |
24g1m0w0 | Modeling of Dry and Saturated Soil-Foundation Interfaces | 35 | 8 | 27 | 22.9% |
7w08k57j | A Hybrid Constrained Coral Reefs Optimization Algorithm with Machine Learning for Optimizing Multi-reservoir Systems Operation | 35 | 16 | 19 | 45.7% |
9v75738g | Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs | 35 | 8 | 27 | 22.9% |
5rz6t3q4 | NetSage: Open Privacy-Aware Network Measurement, Analysis, And Visualization Service | 34 | 12 | 22 | 35.3% |
9vm907zv | High Efficiency Micromachined Sub-THz Channels for Low Cost Interconnect for Planar Integrated Circuits | 34 | 15 | 19 | 44.1% |
1vh8z8hp | Characteristic limitations of advanced plasticity and hypoplasticity models for cyclic loading of sands | 32 | 18 | 14 | 56.3% |
2p48q0zg | A Dynamic Hash Table for the GPU | 32 | 1 | 31 | 3.1% |
7xs630v9 | Distributed Helios - Mitigating Denial of Service Attacks in Online Voting | 32 | 9 | 23 | 28.1% |
0jq8j37m | Homogeneous charge compression ignition of fuel-lean methane-air mixtures over alumina-supported platinum catalysts in small-scale free-piston engines | 31 | 10 | 21 | 32.3% |
6ks778pm | Thermal fluctuations and bending rigidities of graphane and fluorographene at different temperatures | 31 | 9 | 22 | 29.0% |
8xf8q913 | A Pade Approximate Linearization for Solving the Quadratic Eigenvalue Problem with Low-Rank Damping | 30 | 12 | 18 | 40.0% |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.