Jeremy W. Sheaffer
Computer Networks and Communications · 2008–2010
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 20 citations into it; #9,655 of 9,886 by trust here, #3,074 by citations
- Hardware and Architecture — 20 citations into it; #1,300 of 1,551 by trust here, #331 by citations
- Artificial Intelligence — 7 citations into it
Whom Jeremy W. Sheaffer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John R. Nickolls
- Shuai Che
- Jens Harald Krüger
- Sunpyo Hong
- Krste Asanovic
- Erik Lindholm
- Naga K. Govindaraju
Who trusts Jeremy W. Sheaffer overall
Papers from Jeremy W. Sheaffer's perspective
Ordered by how strongly the researchers Jeremy W. Sheaffer trusts endorse each paper. Same corpus, a different order for every researcher.
- Scalable parallel programming
- Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
- NVIDIA Tesla: A Unified Graphics and Computing Architecture
- Brook for GPUs: Stream Computing on Graphics Hardware (ACM Transactions on Graphics)
- Linear algebra operators for GPU implementation of numerical algorithms (SIGGRAPH Courses)
- Fast computation of database operations using graphics processors (ACM SIGMOD Conference)
- Scan primitives for GPU computing (GH '07)
- Accelerating Large Graph Algorithms on the GPU Using CUDA (International Conference on High Performance Computing)
- Recognition, Mining and Synthesis Moves Comp uters to the Era of Tera
- An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness (International Symposium on Computer Architecture)
Their papers
- A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads (2010) — 331 citations
- Rodinia: A benchmark suite for heterogeneous computing (2009) — 3,102 citations
- Accelerating Compute-Intensive Applications with GPUs and FPGAs (2008) — 367 citations
- A performance study of general-purpose applications on graphics processors using CUDA (2008) — 710 citations