Ali Bakhoda

IEEE International Symposium on Performance Analysis of Systems and Software · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Ali Bakhoda trusts overall

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

  1. Svetlin Manavski
  2. John R. Nickolls
  3. Shane Ryoo
  4. Erik Lindholm
  5. Michael C. Schatz
  6. Wilson W. L. Fung
  7. Scott Rixner
  8. P J Narayanan
  9. William (Bill) J. Dally
  10. Christopher I. Rodrigues

Who trusts Ali Bakhoda overall

  1. Timothy G. Rogers
  2. Sunpyo Hong
  3. Mahmoud Khairy
  4. Adwait Jog
  5. Tor M. Aamodt
  6. Hadi Esmaeilzadeh
  7. Shuai Che
  8. Wajahat Qadeer
  9. Rachata Ausavarungnirun
  10. Mike O'Connor

Papers from Ali Bakhoda's perspective

Ordered by how strongly the researchers Ali Bakhoda 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. Merrimac: Supercomputing with Streams (International Conference on Software Composition)
  3. The design and implementation of a first-generation CELL processor (ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005.)
  4. Scalable parallel programming
  5. NVIDIA Tesla: A Unified Graphics and Computing Architecture
  6. Accelerating Large Graph Algorithms on the GPU Using CUDA (International Conference on High Performance Computing)
  7. The microarchitecture of the Pentium 4 processor
  8. CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography (2007 IEEE International Conference on Signal Processing and Communications)
  9. Program optimization space pruning for a multithreaded gpu (IEEE/ACM International Symposium on Code Generation and Optimization)
  10. Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow (Micro)

Their papers