Yao Zhang
Computer Networks and Communications · GH '07 · 2007–2011
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 10 citations into it
- Hardware and Architecture — 10 citations into it
Whom Yao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nathan Bell
- JeeWhan Choi
- Samuel Williams
- Michael Garland
- R. Vuduc
- Amik Singh
- Leonid Oliker
- Sunpyo Hong
Who trusts Yao Zhang overall
Papers from Yao Zhang's perspective
Ordered by how strongly the researchers Yao Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness (International Symposium on Computer Architecture)
- Optimization of sparse matrix-vector multiplication on emerging multicore platforms (International Conference on Software Composition)
- Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
- COMPUTING: Screen Savers of the World Unite! (Science)
- Implementing sparse matrix-vector multiplication on throughput-oriented processors (Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis)
- Model-driven autotuning of sparse matrix-vector multiply on GPUs (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
- An adaptive performance modeling tool for GPU architectures (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
- Sparsity: Optimization Framework for Sparse Matrix Kernels (The international journal of high performance computing applications)
- Automatic performance tuning of sparse matrix kernels
- Scan primitives for GPU computing (GH '07)
Their papers
- Parallel Computing Experiences with CUDA (2008) — 584 citations
- A quantitative performance analysis model for GPU architectures (2011) — 316 citations
- Scan primitives for GPU computing (2007) — 652 citations