Machine Learning:
- Deep Boltzman Machine with Parallel Tampering on a GPU, Edgar Chen and Taichi Akiyama
- Autogenerating Text via Parallel Implementations of Recurrent Neural Networks, Taylor Clarke and Anirban Ghosh
Graphics:
- Parallel Seam Carving, Andres Cortes and Nikhil Choudhary
- CudaOcean3d: Photorealistic Ocean Rendering using CUDA, Tao Ye
- GPU Scotty 3d, Tommy Lau and Leila Thomas
- Parallelized Content-Aware Image Scaling, Amolak Nagi and James Mackaman
- Parallel 3D Mesh Generation for Point Clouds, Adit Namdev and Jordan Tick
- HarshLight: Real-time Global Illumination Renderer based on Voxel Cone Tracing, Jiawen Liang and Yang Zhou
Computer Vision:
- Parallel point cloud registration, Hanzhou Lu and Yujie Wei
- Parallel Object Detection Algorithm using FPGA, Sudharshun Mukundan Iyengar and Felix Wen
- Object Tracking (via an FPGA), Steven Kool
- Fast Image Processing Library for iOS, Rameez Remsudeen and William Tong
Scientific Computing:
- Parallelization of CFD on DCAC System, Jin Hu and Siliang Lu
- Mobile FEA using Metal for Swift on iOS, Jack Kasbeer and Atulya Ravishankar
Parallel Graph Algorithms:
- Spectral graph clustering, Anant Subramanian and Feroze Naina
- Parallel A* Graph Search, Rachel M. Holladay and Ariana Weinstock
Database Management Systems:
- Parallel Sort Merge Join in Peloton, Siddharth Santurkar and Lei Qi
- Peleton DB Lock-Free Task Queues, Bili Sun
Parallel Computer Architecture:
- Simulating Migratory Cache Coherence, Elliot Lockerman
Miscellaneous:
- Parallel Computation of Binomial Security Pricing Model, Charlie Cai and Xiqiao Shan.
- Parallel Hexagonal Cellular Automaton Framework, Adilet Segizekov and Eli Cohen
- CudaChessBot, Kevin Lee and Manik Panwar
- Concurrent Hashing Map with Hopscotch Hashing, Wei Cui and Lei Sun
- Parallel and Distributed Tensor Decomposition, Ye Yuan and Tengjiao Chen