HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism | DeepAI
Mining the CPLEX Node Log for Faster MIP Performance
Mining the CPLEX Node Log for Faster MIP Performance
Mapping and configuration in a CPU-GPU system | Download Scientific Diagram
Introduction to OpenACC - UL HPC Tutorials
Jonas Velasco (@jonasovich) / Twitter
IBM ILOG CPLEX Optimization Studio vs. NVIDIA RAPIDS Comparison
Integer programming based heterogeneous CPU–GPU cluster schedulers for SLURM resource manager - ScienceDirect
FastDOG: Fast Discrete Optimization on GPU
arXiv:1802.08557v1 [cs.DC] 21 Feb 2018
Applying an annealing algorithm to the collision avoidance problem in a congested straits
optimization - Gurobi and CPLEX cannot exploit more than 32 cores of machine - Operations Research Stack Exchange
PDF) Solving Very Large Optimization Problems (Up to One Billion Variables) with a Parallel Evolutionary Algorithm in CPU and GPU | S. Nesmachnow and S. Iturriaga - Academia.edu
IBM ILOG CPLEX Optimization Studio vs. NVIDIA RAPIDS Comparison
Speedup of dwsolver versus CPLEX over a variety of parameters. | Download Scientific Diagram
Cplex - Gurobi - UL HPC Tutorials
On the Efficiency of Supernodal Factorization in Interior-Point Method Using CPU-GPU Collaboration
GitHub - mikeroyal/CUDA-Guide: CUDA Guide
Mining the CPLEX Node Log for Faster MIP Performance
Systems And Methods For Safe And Reliable Autonomous Vehicles DITTY; Michael Alan ; et al. [NVIDIA Corporation]
アニーリングマシンを用いた 船舶衝突回避アプリケーションの開発
アニーリングマシンを用いた 船舶衝突回避アプリケーションの開発
Features (detail) view - Unity マニュアル
Applying an annealing algorithm to the collision avoidance problem in a congested straits