Azzam Haidar
Nvidia (United States)(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Matrix Theory and Algorithms, Distributed and Parallel Computing Systems, Advanced Data Storage Technologies, Numerical Methods and Algorithms
Most-Cited Works
- → Harnessing GPU Tensor Cores for Fast FP16 Arithmetic to Speed up Mixed-Precision Iterative Refinement Solvers(2018)203 cited
- → Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA(2011)145 cited
- → Performance, Design, and Autotuning of Batched GEMM for GPUs(2016)116 cited
- → The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale(2018)108 cited
- → Accelerating Numerical Dense Linear Algebra Calculations with GPUs(2014)102 cited
- → Seismic wave modeling for seismic imaging(2009)87 cited
- → RETRACTED: Batched matrix computations on hardware accelerators based on GPUs(2015)66 cited
- → cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science(2023)63 cited
- → Mixed-precision iterative refinement using tensor cores on GPUs to accelerate solution of linear systems(2020)61 cited
- → Investigating half precision arithmetic to accelerate dense linear system solvers(2017)60 cited