Sang Kyun Kim

Hardware and Architecture · 2006–2011

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Hardware and Architecture — 8 citations into it; #1,402 of 1,551 by trust here, #1,384 by citations
• Computer Networks and Communications — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Sang Kyun Kim trusts overall

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

1. Leslie G. Valiant
2. Michael Kearns
3. Olivier Chapelle
4. Muthu Dayalan

Who trusts Sang Kyun Kim overall

1. Dhruv Kumar Mahajan
2. Vitaly Feldman
3. Sungpack Hong
4. Martin A. Zinkevich
5. Yucheng Low
6. J. Langford
7. Duane Merrill
8. Janis Keuper
9. Yinzhi Cao
10. Bryan Catanzaro

Papers from Sang Kyun Kim's perspective

Ordered by how strongly the researchers Sang Kyun Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Estimation of Dependences Based on Empirical Data
2. MapReduce: simplified data processing on large clusters
3. Analyzing CUDA workloads using a detailed GPU simulator (IEEE International Symposium on Performance Analysis of Systems and Software)
4. Training a Support Vector Machine in the Primal
5. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
6. Rodinia: A benchmark suite for heterogeneous computing
7. A theory of the learnable
8. R-MAT: A Recursive Model for Graph Mining (SDM)
9. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
10. The GPU Computing Era

Their papers

• Accelerating CUDA graph algorithms at maximum warp (2011) — 392 citations
• Map-Reduce for Machine Learning on Multicore (2006) — 1,288 citations