Changkyu Kim

Computer Networks and Communications · 2002–2021

A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 40 citations into it; #4,102 of 9,886 by trust here, #2,136 by citations
• Electrical and Electronic Engineering — 14 citations into it
• Signal Processing — 7 citations into it

Whom Changkyu Kim trusts overall

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

1. Jingren Zhou
2. Naga K. Govindaraju
3. Jun Rao
4. Daniel J. Abadi
5. Jatin Chhugani
6. Iroon Polytechniou
7. Timothy J. Purcell
8. K. Mai
9. Bradford M. Beckmann
10. Bingsheng He

Who trusts Changkyu Kim overall

1. Jichuan Chang
2. Thomas Moscibroda
3. Bradford M. Beckmann
4. Niket Agarwal
5. G. Sohi
6. Viktor Leis
7. Onur Mutlu
8. David A. Wood
9. Danny Hendler
10. Hao Zhang

Papers from Changkyu Kim's perspective

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

1. Making B+- trees cache conscious in main memory (ACM SIGMOD Conference)
2. Sorting networks and their applications
3. The future of wires (Proceedings of the IEEE)
4. Large Scale Distributed Deep Networks
5. Super-Scalar RAM-CPU Cache Compression
6. Automatic differentiation in PyTorch
7. GPUTeraSort: high performance graphics co-processor sorting for large database management (SIGMOD Conference)
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. Et al
10. Relational joins on graphics processors (SIGMOD Conference)

Their papers

• Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems (2020) — 107 citations
• 3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs (2010) — 315 citations
• FAST: fast architecture sensitive tree search on modern CPUs and GPUs (2010) — 358 citations
• Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale (2021) — 14 citations
• Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU (2010) — 854 citations
• Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs (2009) — 327 citations
• A NUCA Substrate for Flexible CMP Cache Sharing (2007) — 360 citations
• An adaptive, non-uniform cache structure for wire-delay dominated on-chip caches (2002) — 802 citations