1 code implementation • 17 Nov 2020 • Saurabh Joshi, Gautam Muduganti
To the best of our knowledge, GPURepair is the only tool that can propose a fix for intra-block data races and barrier divergence errors for both CUDA and OpenCL kernels and the only tool that fixes inter-block data races for CUDA kernels.
Distributed, Parallel, and Cluster Computing Software Engineering
no code implementations • 27 Dec 2019 • Utpal Bora, Santanu Das, Pankaj Kukreja, Saurabh Joshi, Ramakrishna Upadrasta, Sanjay Rajopadhye
In the era of Exascale computing, writing efficient parallel programs is indispensable and at the same time, writing sound parallel programs is very difficult.
Programming Languages Logic in Computer Science Software Engineering D.2; D.3
1 code implementation • 22 Oct 2019 • Yash Pote, Saurabh Joshi, Kuldeep S. Meel
The runtime performance of modern SAT solvers is deeply connected to the phase transition behavior of CNF formulas.
no code implementations • 10 Oct 2019 • Ruben Martins, Saurabh Joshi, Vasco Manquinho, Ines Lynce
To celebrate the first 25 years of the International Conference on Principles and Practice of Constraint Programming (CP) the editors invited the authors of the most cited paper of each year to write a commentary on their paper.
1 code implementation • 19 Jun 2018 • Saurabh Joshi, Prateek Kumar, Ruben Martins, Sukrut Rao
Incomplete MaxSAT solving aims to quickly find a solution that attempts to minimize the sum of the weights of the unsatisfied soft clauses without providing any optimality guarantees.
no code implementations • 21 Jul 2015 • Saurabh Joshi, Ruben Martins, Vasco Manquinho
We show the superiority of GTE with respect to other encodings when large pseudo-Boolean constraints have low number of distinct coefficients.
no code implementations • 20 Aug 2014 • Ruben Martins, Saurabh Joshi, Vasco Manquinho, Ines Lynce
In general, MaxSAT algorithms perform a succession of SAT solver calls to reach an optimum solution making extensive use of cardinality constraints.
