Eun-Jin Im

The international journal of high performance computing applications · 2004

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Eun-Jin Im trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David A. Patterson
  2. J. Demmel
  3. Jack J. Dongarra
  4. John L. Hennessy
  5. Antoine Petitet

Who trusts Eun-Jin Im overall

  1. R. Vuduc
  2. Samuel Williams
  3. J. Demmel
  4. Nathan Bell
  5. JeeWhan Choi
  6. Aydin Buluç
  7. Leonid Oliker
  8. K. Yelick
  9. Michael Garland
  10. John M. Shalf

Papers from Eun-Jin Im's perspective

Ordered by how strongly the researchers Eun-Jin Im trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Automated empirical optimizations of software and the ATLAS project (Parallel Computing)
  2. Computer Architecture: A Quantitative Approach
  3. Templates for the Solution of Algebraic Eigenvalue Problems (Software, environments, tools)
  4. In-datacenter performance analysis of a tensor processing unit
  5. Cramming More Components Onto Integrated Circuits
  6. Gaussian elimination is not optimal
  7. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers