Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Benchmark (computing)

Known as: Bench mark program, Benchmark program, CPU benchmark 
In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds… Expand
  • table 1
  • figure 1
  • figure 2
  • table 2
  • table 3
Highly Cited
2014
Highly Cited
2014
Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Highly Cited
2012
Highly Cited
2012
The Parboil benchmarks are a set of throughput computing applications useful for studying the performance of throughput computing… Expand
  • table I
  • table II
Highly Cited
2010
Highly Cited
2010
Scalable heterogeneous computing systems, which are composed of a mix of compute devices, such as commodity multicore processors… Expand
  • figure 1
  • table 1
  • table 2
  • figure 2
  • table 3
Highly Cited
2009
Highly Cited
2009
This paper presents and characterizes Rodinia, a benchmark suite for heterogeneous computing. To help architects study emerging… Expand
  • table I
  • figure 1
  • figure 2
  • figure 3
  • table II
Highly Cited
2008
Highly Cited
2008
This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • table 2
Highly Cited
2004
Highly Cited
2004
The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
1996
Highly Cited
1996
Clustering algorithms are attractive for the task of class identification in spatial databases. However, the application to large… Expand
  • table 1
Highly Cited
1995
Highly Cited
1995
A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several… Expand
Review
1995
Review
1995
  • R. Eberhart, J. Kennedy
  • MHS'95. Proceedings of the Sixth International…
  • 1995
  • Corpus ID: 14086189
The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are… Expand