College of Engineering
Parent: UC Davis
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% |
| 0227z2t1 | SANISAND-MSf: a sand plasticity model with memory surface and semifluidised state | 81 | 36 | 45 | 44.4% |
| 0p96v327 | DYNAMIC BEHAVIOR OF FOUNDATIONS: AN EXPERIMENTAL STUDY IN A CENTRIFUGE | 81 | 5 | 76 | 6.2% |
| 0hc042kf | CENTRIFUGE PREDICTION OF EGRESS SYSTEM PERFORMANCE | 74 | 2 | 72 | 2.7% |
| 830502mm | Use of Photron Cameras and TEMA Software to Measure 3D Displacements in Centrifuge Tests | 74 | 11 | 63 | 14.9% |
| 6j27m45d | Extracting and visualizing topological information from large high-dimensional data sets | 73 | 7 | 66 | 9.6% |
| 2jf918dh | CSE-92-18 - An Evaluation of Feature Selection Methodsand Their Application to Computer Security | 68 | 12 | 56 | 17.6% |
| 9534w5x1 | Multi-Stage Delivery of Malware | 68 | 5 | 63 | 7.4% |
| 5rv3d8np | Effect of Anisotropic Consolidation on Cyclic Liquefaction Resistance of Granular Materials via 3D-DEM Modeling | 63 | 51 | 12 | 81.0% |
| 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% |
| 9wd8g79f | Effects of pressure and flow rate on the efficiency and performance of autothermal reforming systems for hydrogen production | 50 | 7 | 43 | 14.0% |
| 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% |
| 0bg5p8ch | Generalizing Tanglegrams | 40 | 3 | 37 | 7.5% |
| 3sf156w6 | Computational study of transport phenomena in microchannel reactors for hydrogen production by steam reforming | 39 | 20 | 19 | 51.3% |
| 5qd0r4ws | Parallel Algorithms and Dynamic Data Structures on the Graphics Processing Unit: a warp-centric approach | 38 | 5 | 33 | 13.2% |
| 7xs630v9 | Distributed Helios - Mitigating Denial of Service Attacks in Online Voting | 38 | 8 | 30 | 21.1% |
| 4xb8p2jn | Resolving the Unexpected in Elections: Election Officials' Options | 36 | 10 | 26 | 27.8% |
| 7dc8d5vb | Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset | 34 | 4 | 30 | 11.8% |
| 5rj639x8 | Effects of inlet velocity and steam-to-methanol ratio on the phenomena of process intensification in protruded millisecond microchannel reactors | 33 | 14 | 19 | 42.4% |
| 74986309 | Numerical modeling of soil liquefaction and lateral spreading using the SANISAND-Sf model in the LEAP experiments | 33 | 15 | 18 | 45.5% |
| 0b41q7v8 | Leveraging Security Metrics to Enhance System and Network Resilience | 32 | 3 | 29 | 9.4% |
| 3z8926ks | Evolution vs. Intelligent Design in Program Patching | 32 | 12 | 20 | 37.5% |
| 5rz6t3q4 | NetSage: Open Privacy-Aware Network Measurement, Analysis, And Visualization Service | 32 | 5 | 27 | 15.6% |
| 65t741zg | GPU LSM: A Dynamic Dictionary Data Structure for the GPU | 32 | 4 | 28 | 12.5% |
| 9n3966b9 | Computational fluid dynamics and thermodynamic analysis of transport and reaction phenomena in autothermal reforming reactors for hydrogen production | 32 | 2 | 30 | 6.3% |
| 9zf8102c | Security Analysis of Scantegrity, an Electronic Voting System | 32 | 7 | 25 | 21.9% |
| 042876p3 | Effect of coefficient of uniformity on cyclic liquefaction resistance of granular materials | 31 | 15 | 16 | 48.4% |
| 0pn70122 | Molecular dynamics study of the thermal properties and phenomena of graphane and fluorographene | 31 | 19 | 12 | 61.3% |
| 1xb249zt | Modeling Systems Using Side Channel Information | 30 | 2 | 28 | 6.7% |
| 6bs3k9rt | Your Security Policy is What?? | 30 | 7 | 23 | 23.3% |
| 9r06p21c | What Do Firewalls Protect?An Empirical Study of Firewalls, Vulnerabilities, and Attacks | 30 | 6 | 24 | 20.0% |
| 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% |
| 6ww1c3bw | Parametrization and Effectiveness of Moving Target Defense Security Protections for Industrial Control Systems | 28 | 4 | 24 | 14.3% |
| 1vh8z8hp | Characteristic limitations of advanced plasticity and hypoplasticity models for cyclic loading of sands | 27 | 13 | 14 | 48.1% |
| 33k7b297 | SKS02: Centrifuge Test of Liquefaction-Induced Downdrag in Uniform Liquefiable Deposit | 26 | 4 | 22 | 15.4% |
| 37j8j27d | High-Performance Linear Algebra-based Graph Framework on the GPU | 26 | 11 | 15 | 42.3% |
| 7w08k57j | A Hybrid Constrained Coral Reefs Optimization Algorithm with Machine Learning for Optimizing Multi-reservoir Systems Operation | 26 | 14 | 12 | 53.8% |
| 4bw6m317 | The Hive Mind: Applying a Distributed Security Sensor Network to GENI- GENI Spiral 2 Final Project Report | 24 | 6 | 18 | 25.0% |
| 74f3q3wf | Applying Machine Learning to Identify NUMA End-System Bottlenecks for Network I/O | 24 | 0 | 24 | 0.0% |
| 0xj8f0s6 | Effect of particle shape on cyclic liquefaction resistance of granular materials | 23 | 15 | 8 | 65.2% |
| 8t42g1c5 | Improvements of efficiency and performance for steam reforming reactors with optimum conditions of wall thermal conductivities and channel dimensions | 23 | 1 | 22 | 4.3% |
| 9v75738g | Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs | 23 | 4 | 19 | 17.4% |
| 6ks778pm | Thermal fluctuations and bending rigidities of graphane and fluorographene at different temperatures | 22 | 6 | 16 | 27.3% |
| 9459p69n | Continuous and efficient production of hydrogen from methanol in protruded millisecond microchannel reactors for fuel cell applications | 22 | 10 | 12 | 45.5% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.