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GeForce 200 series

Known as: GeForce GTX 280, GeForce GTX 260, 200 series 
The GeForce 200 Series is the 10th generation of Nvidia's GeForce graphics processing units, still based on the Tesla (microarchitecture) (GT… 
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Application programming interfaceCMOSCache (computing)Direct3D

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
单卡之王 NVIDIA GeForce GTX 1080
NVIDIA于近日发布了跨时代的旗舰级显卡产品GTX1080,这块目前为止单核性能最强的显卡在架构、制程、运行主频与显存技术上都开创了显卡的新纪元。16nm Fin FET制造工艺、全新Pascal架构的GP104核心拥有2560… 
2013
2013
The Approximate String Matching on the Hierarchical Memory Machine, with Performance Evaluation
The Hierarchical Memory Machine (HMM) is a theoretical parallel computing model that captures the essence of computing on CUDA… 
2013
2013
Performance Optimization of Aho-Corasick Algorithm on a GPU
Aho-Corasick (AC) algorithm is a multiple patternsmatching algorithm commonly used for applications such as computer and network… 
2013
2013
A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation
This paper presents a GPU (Graphics Processing Units) implementation of dynamic programming for the optimal polygon triangulation… 
2012
2012
Accelerated Network Coding with Dynamic Stream Decomposition on Graphics Processing Unit
Network coding, a well-known technique for optimizing data-flow in wired and wireless network systems, has attracted considerable… 
2011
2011
Distributed topology control in large‐scale hybrid RF/FSO networks: SIMT GPU‐based particle swarm optimization approach
The tremendous power of graphics processing unit (GPU) computing relative to prior CPU‐only architectures presents new… 
2011
2011
Analysis of Fast Parallel Sorting Algorithms for GPU Architectures'
Sorting algorithms have been studied extensively since past three decades. Their uses are found in many applications including… 
2011
2011
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over… 
Highly Cited
2011
Highly Cited
2011
The sparse matrix vector product on GPUs
The sparse matrix vector product (SpMV) is a paramount operation in engineering and scientific computing and, hence, has been a… 
2010
2010
Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster
In this paper, the mixed precision algorithm to solve the linear system of equations and the implementation of HPL package are… 
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