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pro vyhledávání: '"Gunnels, John A."'
The evolution of floating-point computation has been shaped by algorithmic advancements, architectural innovations, and the increasing computational demands of modern technologies, such as artificial intelligence (AI) and high-performance computing (
Externí odkaz:
http://arxiv.org/abs/2411.12090
Autor:
Bayraktar, Harun, Charara, Ali, Clark, David, Cohen, Saul, Costa, Timothy, Fang, Yao-Lung L., Gao, Yang, Guan, Jack, Gunnels, John, Haidar, Azzam, Hehn, Andreas, Hohnerbach, Markus, Jones, Matthew, Lubowe, Tom, Lyakh, Dmitry, Morino, Shinya, Springer, Paul, Stanwyck, Sam, Terentyev, Igor, Varadhan, Satya, Wong, Jonathan, Yamaguchi, Takuma
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 to increase, making their classical simulation progressively more diffi
Externí odkaz:
http://arxiv.org/abs/2308.01999
In a recent paper, we showed that secondary storage can extend the range of quantum circuits that can be practically simulated with classical algorithms. Here we refine those techniques and apply them to the simulation of Sycamore circuits with 53 an
Externí odkaz:
http://arxiv.org/abs/1910.09534
Autor:
Pednault, Edwin, Gunnels, John A., Nannicini, Giacomo, Horesh, Lior, Magerlein, Thomas, Solomonik, Edgar, Draeger, Erik W., Holland, Eric T., Wisnieff, Robert
With the current rate of progress in quantum computing technologies, systems with more than 50 qubits will soon become reality. Computing ideal quantum state amplitudes for circuits of such and larger sizes is a fundamental step to assess both the co
Externí odkaz:
http://arxiv.org/abs/1710.05867
Autor:
Gounley, John, Draeger, Erik W., Oppelstrup, Tomas, Krauss, William D., Gunnels, John A., Chaudhury, Rafeed, Nair, Priya, Frakes, David, Leopold, Jane A., Randles, Amanda
Publikováno v:
In Journal of Biomechanics 3 January 2019 82:28-37
Several emerging petascale architectures use energy-efficient processors with vectorized computational units and in-order thread processing. On these architectures the sustained performance of streaming numerical kernels, ubiquitous in the solution o
Externí odkaz:
http://arxiv.org/abs/1201.3496
Autor:
Draeger, Erik W., Andrade, Xavier, Gunnels, John A., Bhatele, Abhinav, Schleife, André, Correa, Alfredo A.
Publikováno v:
In Journal of Parallel and Distributed Computing August 2017 106:205-214
Akademický článek
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Akademický článek
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Autor:
Liu, Xing, Buono, Daniele, Checconi, Fabio, Choi, Jee W., Que, Xinyu, Petrini, Fabrizio, Gunnels, John A., Stuecheli, Jeff A.
Publikováno v:
2016 IEEE International Parallel & Distributed Processing Symposium (IPDPS); 2016, p263-272, 10p