Sam S. Stone

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

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 Sam S. Stone trusts overall

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

  1. Masaharu Sakamoto
  2. Masaharu Murase

Who trusts Sam S. Stone overall

  1. Anders Eklund
  2. Christopher I. Rodrigues

Papers from Sam S. Stone's perspective

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

  1. Accelerating molecular modeling applications with graphics processors (Journal of Computational Chemistry)
  2. Accelerator: using data parallelism to program GPUs for general-purpose uses (ASPLOS XII)
  3. A Survey of General‐Purpose Computation on Graphics Hardware (Eurographics)
  4. Algorithms and Theory of Computation Handbook, Second Edition, Volume 2: Special Topics and Techniques
  5. High performance Fortran
  6. Optimizing Compilers for Modern Architectures: A Dependence-based Approach
  7. An optimal memory allocation scheme for scratch-pad-based embedded systems (TECS)
  8. Using machine learning to focus iterative optimization (IEEE/ACM International Symposium on Code Generation and Optimization)
  9. Understanding the efficiency of GPU algorithms for matrix-matrix multiplication (Graphics Hardware)
  10. Parallel Implementation for 3-D CT Image Reconstruction on Cell Broadband Engine

Their papers