Sungpack Hong

Computer Networks and Communications · 2011–2015

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 29 citations into it
• Hardware and Architecture — 27 citations into it; #662 of 1,551 by trust here, #437 by citations
• Computer Vision and Pattern Recognition — 18 citations into it; #7,930 of 21,575 by trust here, #8,831 by citations
• Information Systems — 13 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Sungpack Hong trusts overall

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

1. Deepayan Chakrabarti
2. Grzegorz Malewicz
3. Yucheng Low
4. John R. Nickolls
5. U. Brandes
6. Yiping Zhan
7. Tayo Oguntebi
8. Sang Kyun Kim
9. P J Narayanan
10. Kunle Olukotun

Who trusts Sungpack Hong overall

1. Junwhan Ahn
2. Onur Mutlu
3. Sungjoo Yoo
4. Duane Merrill
5. Scott Beamer
6. Donald Nguyen
7. Lifeng Nai
8. Brandon Reagen
9. Kiyoung Choi
10. Avery Ching

Papers from Sungpack Hong's perspective

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

1. The Anatomy of a Large-Scale Hypertextual Web Search Engine
2. Pregel: a system for large-scale graph processing (SIGMOD Conference)
3. Collective dynamics of ‘small-world’ networks
4. Rodinia: A benchmark suite for heterogeneous computing
5. Introduction to algorithms
6. Challenges in Parallel Graph Processing (Parallel Processing Letters)
7. R-MAT: A Recursive Model for Graph Mining (SDM)
8. Analyzing CUDA workloads using a detailed GPU simulator (IEEE International Symposium on Performance Analysis of Systems and Software)
9. The Boost Graph Library - User Guide and Reference Manual (C++ in-depth series)
10. Accelerating Large Graph Algorithms on the GPU Using CUDA (International Conference on High Performance Computing)

Their papers

• A scalable processing-in-memory accelerator for parallel graph processing (2015) — 900 citations
• Green-Marl: a DSL for easy and efficient graph analysis (2012) — 328 citations
• Accelerating CUDA graph algorithms at maximum warp (2011) — 392 citations
• Efficient Parallel Graph Exploration on Multi-Core CPU and GPU (2011) — 294 citations