21 citations · 69 across the 12 of their papers we have counts for
14 papers
Parallelizing Large-Scale Tensor Network Contraction on Multiple GPUs
Feng Pan, Hanfeng Gu, Paul Springer +1
Exact tensor network contraction underpins quantum circuit simulation, quantum error correction, combinatorial optimization, and many-body dynamics. The dominant parallelization st…
Exceeding the Numerical and Performance Characteristics of IEEE-754 SGEMM with BFloat16 Tensor Cores on GPUs for Scientific Computing
Harun Bayraktar, Cole Brower, John Gunnels +9
Largely due to their increased native capacity for numerical intensity and power efficiency, reduced-precision floating-point computing resources, primarily used in artificial inte…
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science
Harun Bayraktar, Ali Charara, David Clark +19
We present the NVIDIA cuQuantum SDK, a state-of-the-art library of composable primitives for GPU-accelerated quantum circuit simulations. As the size of quantum devices continues t…
ChASE: Chebyshev Accelerated Subspace iteration Eigensolver for sequences of Hermitian eigenvalue problems
Jan Winkelmann, Paul Springer, Edoardo Di Napoli
Solving dense Hermitian eigenproblems arranged in a sequence with direct solvers fails to take advantage of those spectral properties which are pertinent to the entire sequence, an…
Spin Summations: A High-Performance Perspective
Paul Springer, Devin Matthews, Paolo Bientinesi
Besides tensor contractions, one of the most pronounced computational bottlenecks in the non-orthogonally spin-adapted forms of the quantum chemistry methods CCSDT and CCSDTQ, and…
HPTT: A High-Performance Tensor Transposition C++ Library
Paul Springer, Tong Su, Paolo Bientinesi
Recently we presented TTC, a domain-specific compiler for tensor transpositions. Despite the fact that the performance of the generated code is nearly optimal, due to its offline n…