Skip to search formSkip to main contentSkip to account menu

Pascal (microarchitecture)

Known as: Nvidia pascal 
Pascal is the codename for a GPU microarchitecture developed by Nvidia as the successor to the Maxwell microarchitecture. The Pascal… 
Wikipedia (opens in a new tab)

Related topics

Related topics

33 relations
CUDADisplayPortDouble-precision floating-point formatFermi (microarchitecture)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Predicting Execution Time of CUDA Kernels with Unified Memory Capability
Nowadays, GPUs are known as one of the most important, most remarkable, and perhaps most popular computing platforms. In recent… 
2018
2018
Fast Heuristic-Based GPU Compiler Sequence Specialization
Iterative compilation focused on specialized phase orders (i.e., custom selections of compiler passes and orderings for each… 
2018
2018
The Model of the Cybernetic Network and Its Realization on the Cluster of Universal and Graphic Processors
The model of the cybernetic network consisting of information and management subnets is offered. For each subnets, its active… 
2017
2017
Cryptanalysis on GPUs with the Cube Attack: Design, Optimization and Performances Gains
The cube attack is a flexible cryptanalysis technique, with a simple and fascinating theoretical implant. It combines offline… 
2017
2017
CUDA-Accelerated ORB-SLAM for UAVs
This thesis explores ORB-SLAM, a popular Visual SLAM method appropriate for UAVs. Visual SLAM is computationally expensive and… 
2017
2017
A multiobjective deep learning approach for predictive classification in Neuroblastoma
Neuroblastoma is a strongly heterogeneous cancer with very diverse clinical courses that may vary from spontaneous regression to… 
2017
2017
High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation
Scaling deep learning workloads across multiple GPUs on a single node has become increasingly important in data analytics. A key… 
2017
2017
Parallelization of Neural Network Training for NLP with Hogwild!
Abstract Neural Networks are prevalent in todays NLP research. Despite their success for different tasks, training time is… 
2017
2017
3 Directive-based Programming Models for Accelerators 3 . 1 OpenMP
We present an extended exploration of the performance portability of directives provided by OpenMP 4 and OpenACC to program… 
2016
2016
Performance Evaluation of the NVIDIA Pascal GPU Architecture: Early Experiences
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)