Sara S. Baghsorkhi

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming · 2008–2010

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sara S. Baghsorkhi trusts overall

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

  1. John R. Nickolls
  2. Michael Metcalf
  3. Ian Buck

Who trusts Sara S. Baghsorkhi overall

  1. Yi Yang
  2. Ping Xiang

Papers from Sara S. Baghsorkhi's perspective

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

  1. Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
  2. Accelerating molecular modeling applications with graphics processors (Journal of Computational Chemistry)
  3. Accelerator: using data parallelism to program GPUs for general-purpose uses (ASPLOS XII)
  4. Scalable parallel programming
  5. A Survey of General‐Purpose Computation on Graphics Hardware (Eurographics)
  6. An optimal memory allocation scheme for scratch-pad-based embedded systems (TECS)
  7. Using machine learning to focus iterative optimization (IEEE/ACM International Symposium on Code Generation and Optimization)
  8. Algorithms and Theory of Computation Handbook, Second Edition, Volume 2: Special Topics and Techniques
  9. High performance Fortran
  10. Optimizing Compilers for Modern Architectures: A Dependence-based Approach

Their papers