Zobrazeno 1 - 10
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pro vyhledávání: '"A., Vinod"'
We present JaxPP, a system for efficiently scaling the training of large deep learning models with flexible pipeline parallelism. We introduce a seamless programming model that allows implementing user-defined pipeline schedules for gradient accumula
Externí odkaz:
http://arxiv.org/abs/2412.14374
The Jacobi Factoring Circuit: Quantum Factoring with Near-Linear Gates and Sublinear Space and Depth
We present a compact quantum circuit for factoring a large class of integers, including some whose classical hardness is expected to be equivalent to RSA (but not including RSA integers themselves). To our knowledge, it is the first polynomial-time c
Externí odkaz:
http://arxiv.org/abs/2412.12558
PyPM is a Python-based domain specific language (DSL) for building rewrite-based optimization passes on machine learning computation graphs. Users define individual optimizations by writing (a) patterns that match subgraphs of a computation graph and
Externí odkaz:
http://arxiv.org/abs/2412.13398
Autor:
Palni, Prabhakar, Sarkar, Amal, Das, Santosh K., Rathore, Anuraag, Shoaib, Syed, Khuntia, Arvind, Jaiswal, Amaresh, Roy, Victor, Panda, Ankit Kumar, Bagchi, Partha, Mishra, Hiranmaya, Biswas, Deeptak, Petreczky, Peter, Sharma, Sayantan, Pradhan, Kshitish Kumar, Scaria, Ronald, Sahu, Dushmanta, Sahoo, Raghunath, Das, Arpan, Mohapatra, Ranjita K, Nayak, Jajati K., Chatterjee, Rupa, Mustafa, Munshi G, R., Aswathy Menon K., Prasad, Suraj, Mallick, Neelkamal, Panday, Pushpa, Patra, Binoy Krishna, Deb, Paramita, Varma, Raghava, Dwibedi, Ashutosh, Win, Thandar Zaw, Nayak, Subhalaxmi, Aung, Cho Win, Ghosh, Sabyasachi, Vempati, Sesha, Singh, Sunny Kumar, Kurian, Manu, Chandra, Vinod, Banerjee, Soham, Sumit, Kumar, Rohit, Mondal, Rajkumar, Chaudhuri, Nilanjan, Roy, Pradip, Sarkar, Sourav, Kumar, Lokesh
The second Hot QCD Matter 2024 conference at IIT Mandi focused on various ongoing topics in high-energy heavy-ion collisions, encompassing theoretical and experimental perspectives. This proceedings volume includes 19 contributions that collectively
Externí odkaz:
http://arxiv.org/abs/2412.10779
Autor:
Herrera, Juan C., Sandoval, Laura L., Kumar, Piyush, Kumar, Sanjay S., Rodriguez, Arturo, Kumar, Vinod, Bronson, Arturo
Temperature gradients developed at ultra-high temperatures create a challenge for temperature measurements that are required for material processing. At ultra-high temperatures, the components of the system can react and change phases depending on th
Externí odkaz:
http://arxiv.org/abs/2412.10547
Autor:
Vaneeckhaute, Ewoud, Bocquelet, Charlotte, Rougier, Nathan, Jegadeesan, Shebha Anandhi, Vinod-Kumar, Sanjay, Mathies, Guinevere, Melzi, Roberto, Kempf, James, Stern, Quentin, Jannin, Sami
A sensitivity increase of two orders of magnitude in proton (1H) and carbon (13C) spins via dynamic nuclear polarization (DNP) has been accomplished recently using a compact benchtop DNP polarizer operating at 1 T and 77 K. However the DNP mechanisms
Externí odkaz:
http://arxiv.org/abs/2412.10325
Physics-informed neural networks (PINNs) commonly address ill-posed inverse problems by uncovering unknown physics. This study presents a novel unsupervised learning framework that identifies spatial subdomains with specific governing physics. It use
Externí odkaz:
http://arxiv.org/abs/2412.06842
Autor:
Vinod, Noah, Tran, Thanh
Ferromagnetic magnetohydrodynamics concerns the study of conducting fluids with intrinsic magnetisation under the influence of a magnetic field. It is a generalisation of the magnetohydrodynamical equations and takes into account the dynamics of the
Externí odkaz:
http://arxiv.org/abs/2412.04753
Autor:
Terrazas, Jose A., Kumar, Piyush, Rodriguez, Arturo, Rodriguez, Luis F., Adansi, Richard O., Kumar, Vinod
Specializing in high-speed testing, Holloman High-Speed Test Track (HHSTT) uses water braking to stop vehicles on the test track. This method takes advantage of the higher density of water, compared to air, to increase braking capability through mome
Externí odkaz:
http://arxiv.org/abs/2411.18939
Autor:
Lobo, Allen, Sayal, Vinod Kumar
In this work, coalescence of phase-space holes of collision-less, one-dimensional plasmas is studied using kinetic simulation techniques. Phase-space holes are well-known Bernstein-Greene-Kruskal waves known for exhibiting coalescence, are numericall
Externí odkaz:
http://arxiv.org/abs/2411.17908