Seongmoo Heo

Electrical and Electronic Engineering · 2003–2009

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 5 citations into it; #3,567 of 16,539 by trust here, #10,714 by citations

Whom Seongmoo Heo trusts overall

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

1. Kevin Skadron
2. Timothy Sherwood
3. Tarek F. Abdelzaher
4. Erez Perelman

Who trusts Seongmoo Heo overall

1. Jayanth Srinivasan
2. James Mc Donald
3. Mohamed A. Gomaa
4. Weiping Liao
5. Sarita V. Adve
6. Margaret Martonosi
7. Pradip Bose
8. Michael D. Powell
9. Lei He
10. Jude A. Rivers

Papers from Seongmoo Heo's perspective

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

1. Control-theoretic techniques and thermal-RC modeling for accurate and localized dynamic thermal management (Proceedings Eighth International Symposium on High Performance Computer Architecture)
2. Automatically characterizing large scale program behavior (ASPLOS X)
3. Managing multi-configuration hardware via dynamic working set analysis (Proceedings 29th Annual International Symposium on Computer Architecture)
4. Phase tracking and prediction (30th Annual International Symposium on Computer Architecture, 2003. Proceedings.)
5. Basic block distribution analysis to find periodic behavior and simulation points in applications (Proceedings 2001 International Conference on Parallel Architectures and Compilation Techniques)
6. X-means: Extending K-means with Efficient Estimation of the Number of Clusters
7. Dynamic thermal management for high-performance microprocessors (Proceedings HPCA Seventh International Symposium on High-Performance Computer Architecture)
8. Learning the k in k-means (Neural Information Processing Systems)
9. Experiments with Random Projection (Conference on Uncertainty in Artificial Intelligence)
10. Some methods for classification and analysis of multivariate observations

Their papers

• Reducing power density through activity migration (2003) — 342 citations
• 8 Gb 3-D DDR3 DRAM Using Through-Silicon-Via Technology (2009) — 475 citations