Ojas Parekh

John Michael Goddard Kallaugher, Ojas D. Parekh, (2022). The Quantum and Classical Streaming Complexity of Quantum and Classical Max-Cut 63rd Annual IEEE Symposium on Foundations of Computer Science (FOCS) Document ID: 1664369

Bradley Harold Theilman, Yipu Wang, Ojas D. Parekh, William Mark Severa, John Darby Smith, James Bradley Aimone, (2022). Stochastic Neuromorphic Circuits for Finding Graph Max Cuts IEEE International Parallel and Distributed Processing Symposium Document ID: 1641555

John Michael Goddard Kallaugher, Ojas D. Parekh, (2022). The Quantum and Classical Streaming Complexity of Quantum and Classical Max-Cut 63rd Annual IEEE Symposium on Foundations of Computer Science (FOCS) Document ID: 1629665

Ojas D. Parekh, (2022). Quantum Discrete Optimization CSRI Summer Seminar, Sandia National Labs Document ID: 1595824

Ojas D. Parekh, Kevin Thompson, (2022). Application of the Level-2 Quantum Lasserre Hierarchy in Quantum Approximation Algorithms Quantum Information Processing 2022 Document ID: 1470912

John Darby Smith, Aaron Jamison Hill, Reeder Leah, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone, (2022). Neuromorphic scaling advantages for energy-efficient random walk computations Nature Electronics https://www.osti.gov/search/identifier:1845387 Document ID: 1427616

Ojas D. Parekh, Yipu Wang, Yang Ho, Cynthia Ann Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa, (2021). Neuromorphic Graph Algorithms https://www.osti.gov/search/identifier:1829422 Document ID: 1391697

Ojas D. Parekh, Kevin Thompson, (2021). Beating Random Assignment for Approximating Quantum 2-Local Hamiltonian Problems European Symposium no Algorithms (ESA 2021) Document ID: 1344810

Ojas D. Parekh, Jessica Kelley Thompson, (2021). Outperforming QAOA on MaxCut with Fast Classical Hyperplane Rounding Algorithms SIAM Optimization Conference Document ID: 1332355

Ojas D. Parekh, Kevin Thompson, (2021). Application of the Level-2 Quantum Lasserre Hierarchy in Quantum Approximation Algorithms International Colloquium on Automata, Languages and Programming Document ID: 1329699

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2021). Provable Advantages for Graph Algorithms in Spiking Neural Networks ACM Symposium on Parallelism in Algorithms and Architectures Document ID: 1319287

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2021). Provable advantages for graph algorithms in spiking neural networks 33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2021) https://www.osti.gov/search/identifier:1871422 Document ID: 1307449

Ojas D. Parekh, (2021). CIS External Review Lightning Presentation: Neuromorphic Graph Algorithms CIS External Review Lightning Presentation https://www.osti.gov/search/identifier:1856083 Document ID: 1281448

Sean Hallgren, Eunou Lee, Ojas D. Parekh, (2021). An approximation algorithm for the MAX-2-Local Hamiltonian problem arXiv publication https://www.osti.gov/search/identifier:1847599 Document ID: 1092606

Mohamed Salah Ebeida, Ahmed Abdelkader, Nina Amenta, Drew Philip Kouri, Ojas D. Parekh, Cynthia Ann Phillips, Nickolas Winovich, (2020). Novel Geometric Operations for Linear Programming https://www.osti.gov/search/identifier:1813669 Document ID: 1231762

John Darby Smith, Aaron Jamison Hill, Leah Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone, (2020). Neuromorphic scaling advantages for energy-efficient random walk computations https://www.osti.gov/search/identifier:1671377 Document ID: 1207930

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures https://www.osti.gov/search/identifier:1814114 Document ID: 1162052

John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Reeder, Ojas D. Parekh, Brian C. Franke, Richard B. Lehoucq, James Bradley Aimone, (2020). Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems https://www.osti.gov/search/identifier:1813714 Document ID: 1184356

John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Evelyn Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone, (2020). Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems https://www.osti.gov/search/identifier:1808426 Document ID: 1161991

James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020) https://www.osti.gov/search/identifier:1808434 Document ID: 1138751

Sandor P. Fekete, Alexander Hill, Dominik Krupke, Tyler Mayer, Joseph S.B. Mitchell, Ojas D. Parekh, Cynthia Ann Phillips, (2020). Probing a set of trajectories to maximize captured information 18th Symposium on Experimental Algorithms https://www.osti.gov/search/identifier:1778662 Document ID: 1116025

Sandor P. Fekete, Alexander Hill, Dominik Krupke, Tyler Mayer, Joseph S. B. Mitchell, Ojas D. Parekh, Cynthia Ann Phillips, (2020). Probing a set of trajectories to maximize captured movement EuroCG Document ID: 1104654

Ojas D. Parekh, (2020). Fundamental Algorithmic Research for Quantum Computing (FAR-QC): Project Overview DOE/ASCR ARQC Kickoff meeting Document ID: 1067878

Ojas D. Parekh, (2020). Quantum Optimization and Learning and Simulation (QOALAS): Project Overview DOE/ASCR ARQC kickoff meeting Document ID: 1067880

Jaimie Suzette Stephens, Ojas D. Parekh, William Bolden, (2020). A Hybrid Quantum Optimization Algorithm Incorporating Classical Heuristics Annual update talk for UNM PhD requirments https://www.osti.gov/search/identifier:1761890 Document ID: 1056404

John Darby Smith, James Bradley Aimone, Brian C. Franke, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa, (2020). Solving IPDEs on Spiking Neuromorphic Hardware Joint Math Meetings https://www.osti.gov/search/identifier:1761032 Document ID: 1079000

Ojas D. Parekh, (2019). Almost optimal classical algorithms for a quantum generalization of Max Cut Quantum Information Processing 2020 https://www.osti.gov/search/identifier:1643365 Document ID: 1078743

Jaimie Suzette Stephens, Ojas D. Parekh, William Bolden, (2019). A Hybrid Quantum Approximate Optimization Algorithm Incorporating Classical Heuristics 22nd Annual Southwest Quantum Information and Technology Workshop Document ID: 1033673

Sevag Gharibian, Ojas D. Parekh, (2019). Almost optimal classical approximation algorithms for a quantum generalization of Max-Cut ArXiv version of a paper https://www.osti.gov/search/identifier:1642618 Document ID: 998742

Ojas D. Parekh, (2019). Quantum Approaches for Discrete Optimization ISC High Performance 2019 https://www.osti.gov/search/identifier:1641667 Document ID: 973614

James Bradley Aimone, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Helen Xu, (2019). Dynamic Programming with Spiking Neural Computing International Conference on Neuromorphic Systems https://www.osti.gov/search/identifier:1641666 Document ID: 996846

James Bradley Aimone, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Helen Xu, (2019). Dynamic Programming with Spiking Neural Computing International Conference of Neuromorphic Systems (ICONS) 2019 https://www.osti.gov/search/identifier:1641311 Document ID: 996589

Bert Debusschere, Khachik Sargsyan, Timothy M. Berg, Ojas D. Parekh, (2019). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification Document ID: 935829

Jaimie Suzette Stephens, Ciaran Ryan-Anderson, William Bolden, Ojas D. Parekh, (2019). Quantum Approximate Optimization Algorithm (QAOA) on Constrained Optimization Problems 21st Annual Southwest Quantum Information and Technology Workshop https://www.osti.gov/search/identifier:1598932 Document ID: 913313

Ojas D. Parekh, (2019). Quantum Approaches for Discrete Optimization Supercomputing 2018 https://www.osti.gov/search/identifier:1595905 Document ID: 889211

Ojas D. Parekh, Ciaran Ryan-Anderson, Sevag Gharibian, (2019). Quantum Optimization and Approximation Algorithms https://www.osti.gov/search/identifier:1492737 Document ID: 901759

Jaimie Suzette Stephens, Ojas D. Parekh, William Bolden, Ciaran Ryan-Anderson, (2018). Quantum Approximate Optimization Algorithm (QAOA) on Constraind Optimization Problems Southwest Quantum Information and Technology 2019 conference Document ID: 877879

James Bradley Aimone, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa, (2018). Neural Algorithms for Low Power Implementation of Partial Differential Equations https://www.osti.gov/search/identifier:1474253 Document ID: 865530

Mohan Sarovar, Ojas D. Parekh, Rolando Somma, Yigit Subasi, Mekena Metcalf, Jonathan Moussa, Yuan Su, Andrew Childs, Sevag Gharibian, Ciaran Ryan-Anderson, Aniruddha Bapat, Stephan Jordan, (2018). Quantum Optimization and Learning and Simulation ASCR PI Meeting https://www.osti.gov/search/identifier:1592311 Document ID: 865109

James Bradley Aimone, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, (2018). Neuromorphic Hardware Implementation of Spiking Algorithms for Markov Random Walks 2018 International Conference on Neuromorphic Systems (ICONS) https://www.osti.gov/search/identifier:1582258 Document ID: 831045

Stephen Joseph Verzi, Fredrick Rothganger, Ojas D. Parekh, Tu-Thach Quach, Nadine E. Miner, Craig Michael Vineyard, Conrad D. James, James Bradley Aimone, (2018). Computing with Spikes: The Advantage of Fine-grained Timing Neural Computation https://www.osti.gov/search/identifier:1466763 Document ID: 842920

Jaimie Suzette Stephens, Ojas D. Parekh, Ciaran Ryan-Anderson, (2018). Quantum Approximate Optimization Algorithm (QAOA) on Constrained Optimization Problems Center for Quantum Information and Control https://www.osti.gov/search/identifier:1577041 Document ID: 842296

Bert Debusschere, Khachik Sargsyan, Ojas D. Parekh, (2018). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification SIAM Annual Meeting 2018 https://www.osti.gov/search/identifier:1806634 Document ID: 830839

William Mark Severa, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone, (2018). Spiking Neural Algorithms for Markov Process Random Walk International Joint Conference on Neural Networks https://www.osti.gov/search/identifier:1532605 Document ID: 819905

Ojas D. Parekh, (2018). Quantum Optimization Algorithms Computing and Information Sciences external review board https://www.osti.gov/search/identifier:1526360 Document ID: 808199

Ojas D. Parekh, Cynthia Ann Phillips, Conrad D. James, James Bradley Aimone, (2018). Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication 30th ACM Symposium on Parallelism in Algorithms and Architectures https://www.osti.gov/search/identifier:1523356 Document ID: 807519

Ojas D. Parekh, Cynthia Ann Phillips, Vladlena Powers, Nourhan Sakr, Cliff Stein, (2018). A Scheduling Problem Motivated by Cybersecurity and Adaptive Machine Learning New Challenges in Scheduling Theory https://www.osti.gov/search/identifier:1511904 Document ID: 783605

William Mark Severa, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone, (2018). Spiking Neural Algorithms for Markov Process Random Walk International Joint Conference on Neural Networks 2018 https://www.osti.gov/search/identifier:1525633 Document ID: 795559

Bert Debusschere, Khachik Sargsyan, Ojas D. Parekh, (2018). Quantum Annealing Approaches for Building Sparse Surrogate Models in Uncertainty Quantification SIAM Annual Meeting 2018 Document ID: 750060

James Bradley Aimone, Ojas D. Parekh, William Mark Severa, (2017). Neural Computing for Scientific Computing Applications Neuromorphic Computing – Architectures – Models – Applications https://www.osti.gov/search/identifier:1483116 Document ID: 726074

Sevag Gharibian, Ojas D. Parekh, Ciaran Ryan-Anderson, (2017). Approximate Constraint Satisfaction in the Quantum Setting Symposium on Discrete Algorithms 2018 https://www.osti.gov/search/identifier:1468312 Document ID: 638107

Ciaran Ryan-Anderson, Andrew J Landahl, Ojas D. Parekh, Noah Tobias Jacobson, Yang Jiao, (2017). Quantum Algorithms, Architecture, and Error Correction Honeywell Job Talk https://www.osti.gov/search/identifier:1468314 Document ID: 625598

Randolph Brost, Michelle Carroll, Debbie Dennison (LLNL), John Goforth (LLNL), William C. McLendon, James D. Morrow, Jarlath O’Neil-Dunne (UVM), Ojas D. Parekh, Andrew John Patterson, Mark Daniel Rintoul, David R. Strip (SNL), USF) Diane M.-K. Woodbridge (SNL, (2017). Geospatial-Temporal Semantic Graphs for Automated Wide-Area Search https://www.osti.gov/search/identifier:1527318 Document ID: 623182

James Bradley Aimone, William Mark Severa, Ojas D. Parekh, (2017). Neural Computing for Scientific Computing Applications: Neuromorphic ComputingArchitectures – Models – Applications Workshop https://www.osti.gov/search/identifier:1507953 Document ID: 637981

Ojas D. Parekh, Ciaran Ryan-Anderson, (2017). Quantum Approximation Algorithms SIAM Annual Meeting 2017 https://www.osti.gov/search/identifier:1507515 Document ID: 638108

Craig Michael Vineyard, Ojas D. Parekh, Cynthia Ann Phillips, James Bradley Aimone, Conrad D. James, Craig Michael Vineyard, Craig Michael Vineyard, (2017). Adaptive Learning Theory Poster display in Neural Exploration and Research Lab https://www.osti.gov/search/identifier:1367220 Document ID: 624369

Ojas D. Parekh, Cynthia Ann Phillips, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone, (2017). Constant Depth and Subcubic Size Threshold Circuits for Matrix Multiplication 5th Neuro Inspired Computational Elements Workshop (NICE 2017) https://www.osti.gov/search/identifier:1425316 Document ID: 599825

Ciaran Ryan-Anderson, Ojas D. Parekh, Yang Jiao, (2017). Investigating the Quantum Approximate Optimization Algorithm?s Advantage over Classical Algorithms Southwest Quantum Information and Technology https://www.osti.gov/search/identifier:1505903 Document ID: 579107

Cynthia Ann Phillips, Ojas D. Parekh, Craig Michael Vineyard, Conrad D. James, James Bradley Aimone, (2017). Studying Adaptive Learning through Game-Theoretic Modeling Neuro Inspired Computational Elements Workshop Document ID: 566740

Craig Michael Vineyard, Cynthia Ann Phillips, Ojas D. Parekh, Craig Michael Vineyard, Conrad D. James, James Bradley Aimone, (2017). Studying Adaptive Learning through Game-Theoretic Modeling Neuro Inspired Computational Elements Workshop Document ID: 566605

Sandor Fekete, Kan Huang, Joseph S. B. Mitchell, Ojas D. Parekh, Cynthia Ann Phillips, (2016). Geometric Hitting Set for Segments of Few Orientations Theory of Computing Systems https://www.osti.gov/search/identifier:1464175 Document ID: 553204

William Mark Severa, Kristofor David Carlson, Ojas D. Parekh, Craig Michael Vineyard, James Bradley Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm Neural Information Processing Systems https://www.osti.gov/search/identifier:1413431 Document ID: 565029

Ciaran Ryan-Anderson, Yang Jiao, Ojas D. Parekh, (2016). Investigating the Quantum Approximate Optimization Algorithm’s Advantage over Classical Algorithms Southwest Quantum Information and Technology Document ID: 565100

William Mark Severa, Kristofor David Carlson, Ojas D. Parekh, Craig Michael Vineyard, James Bradley Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm Neural Information Processing Systems (NIPS) 2016 – Computing with Spikes Workshop Document ID: 554511

William Mark Severa, Kristofor David Carlson, Ojas D. Parekh, Craig Michael Vineyard, James Bradley Aimone, (2016). Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm Neural Information Processing Systems (NIPS) 2016 https://www.osti.gov/search/identifier:1410236 Document ID: 554568

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2016). Formalizing Function within the Hippocampal Trisynaptic Circuit Society for Neuroscience 2016 https://www.osti.gov/search/identifier:1408291 Document ID: 553704

William Mark Severa, Ojas D. Parekh, Kristofor David Carlson, Conrad D. James, James Bradley Aimone, (2016). Spiking Network Algorithms for Scientific Computing IEEE International Conference on Rebooting Computing (ICRC 2016) https://www.osti.gov/search/identifier:1401930 Document ID: 531888

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2016). A Combinatorial Model for Dentate Gyrus Sparse Coding Neural Computation https://www.osti.gov/search/identifier:1371475 Document ID: 507761

William Mark Severa, Ojas D. Parekh, Kristofor David Carlson, Conrad D. James, James Bradley Aimone, (2016). Spiking Network Algorithms for Scientific Computing IEEE International Conference on Rebooting Computing (ICRC 2016) https://www.osti.gov/search/identifier:1373236 Document ID: 476320

Matthew Marinella, Sapan Agarwal, Steven J. Plimpton, Albert Alec Talin, Farid El Gabaly Marquez, Elliot James Fuller, David Russell Hughart, Ojas D. Parekh, Erik Debenedictis, Ronald S. Goeke, Alexander W Hsia, James Bradley Aimone, Conrad D. James, (2016). Emerging Technologies for the Acceleration of Neuromorphic Algorithms The Ninth Workshop on Fault-Tolerant Spaceborne Computing Employing New Technologies, 2016 https://www.osti.gov/search/identifier:1505271 Document ID: 464238

Ojas D. Parekh, Jeremy D Wendt, Luke Nathan Shulenburger, Andrew J Landahl, Jonathan Edward Moussa, John B. Aidun, (2016). Benchmarking Near-‐term Adiabatic Quantum Computation 2016 Cis Erb https://www.osti.gov/search/identifier:1368864 Document ID: 453748

Ojas D. Parekh, (2016). Presentation for IARPA Quantum Enhanced Optimization Proposers’ Day IARPA Quantum Enhanced Optimiztion Proposers’ Day https://www.osti.gov/search/identifier:1368767 Document ID: 343373

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2016). Formalizing Function within the Hippocampal Trisynaptic Circuit Society for Neuroscience (Neuroscience) 2016 Document ID: 442809

Matthew Marinella, Sapan Agarwal, David Russell Hughart, Steven J. Plimpton, Ojas D. Parekh, Tu-Thach Quach, Erik Debenedictis, Ronald S. Goeke, Alexander W Hsia, James Bradley Aimone, Conrad D. James, (2016). Acceleration of Neural Algorithms using Nanoelectronic Resistive Memory Crossbars IEEE Rebooting Computing Symposium 4 https://www.osti.gov/search/identifier:1365322 Document ID: 365658

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2016). Spiking Network Algorithms for Scientific Computing IEEE International Conference on Rebooting Computing Document ID: 442284

Sapan Agarwal, Ojas D. Parekh, Tu-Thach Quach, Erik Debenedictis, Conrad D. James, Matthew Marinella, James Bradley Aimone, (2016). Energy Scaling Advantages of Resistive Memory Crossbar Based Computation Neuro Inspired Computational Elements https://www.osti.gov/search/identifier:1422171 Document ID: 409372

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2016). A Combinatorial Model of Dentate Gyrus Sparse Coding and Pattern Separation NICE Workshop https://www.osti.gov/search/identifier:1346453 Document ID: 409286

Sapan Agarwal, Steven J. Plimpton, Ojas D. Parekh, Alexander W Hsia, Tu-Thach Quach, David Russell Hughart, Isaac Richter, Erik Debenedictis, Conrad D. James, James Bradley Aimone, Matthew Marinella, (2016). Acceleration of Neural Algorithms using Nanoelectronic Resistive Memory Crossbars Neuro Inspired Computational Elements https://www.osti.gov/search/identifier:1346466 Document ID: 409288

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2016). A Combinatorial Model of Dentate Gyrus Sparse Coding and Pattern Separation NICE Workshop https://www.osti.gov/search/identifier:1345889 Document ID: 408997

Peter Lukas Wilhelm Maunz, Jonathan David Sterk, Daniel Lobser, Ojas D. Parekh, Ciaran Ryan-Anderson, (2016). Quantum Graph Analysis https://www.osti.gov/search/identifier:1235806 Document ID: 386937

James Bradley Aimone, Ojas D. Parekh, William Mark Severa, (2015). A Sparse Coding Model of the Hippocampal Dentate Gyrus 2016 Joint Mathematics Meetings https://www.osti.gov/search/identifier:1337917 Document ID: 376108

Matthew Marinella, Sapan Agarwal, David Russell Hughart, Steven J. Plimpton, Ojas D. Parekh, Tu-Thach Quach, Erik Debenedictis, Ronald S. Goeke, Alexander W Hsia, James Bradley Aimone, Conrad D. James, (2015). Acceleration of Neural Algorithms using Nanoelectronic Resistive Memory Crossbars IEEE Rebooting Computing Symposium 4 https://www.osti.gov/search/identifier:1336275 Document ID: 365302

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2015). Finding Triangles and Tracking Particles: Using Spiking Neural Networks for Pattern Identification Algorithms The 9th Annual Postdoctoral Technical Showcase https://www.osti.gov/search/identifier:1333797 Document ID: 364945

Matthew Marinella, Sapan Agarwal, David Russell Hughart, Steven J. Plimpton, Ojas D. Parekh, Tu-Thach Quach, Erik Debenedictis, Ronald S. Goeke, Patrick Sean Finnegan, Rudeger H.T. Wilke, Denis Mamaluy, Harold P. Hjalmarson, Brian David Tierney, Alexander W Hsia, James Bradley Aimone, Conrad D. James, (2015). Acceleration of Neural Algorithms using Nanoelectronic Resistive Memory Crossbars IEEE Rebooting Computing Symposium 4 Document ID: 364990

William Mark Severa, Ojas D. Parekh, Conrad D. James, James Bradley Aimone, (2015). Finding Triangles and Tracking Particles: Using Spiking Neural Networks for Pattern Identification Algorithms The 9th Annual Postdoctoral Technical Showcase Document ID: 354758

William Mark Severa, Ojas D. Parekh, James Bradley Aimone, (2015). A Combinatorial Model for Dentate Gyrus Sparse Coding and Pattern Separation Computational and Systems Neuroscience (Cosyne) 2016 Document ID: 354681

Sapan Agarwal, Ojas D. Parekh, Tu-Thach Quach, Erik Debenedictis, Conrad D. James, Matthew Marinella, James Bradley Aimone, (2015). Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and its Application to Sparse Coding Neuro-Inspired Computational Elements Workshop Document ID: 354625

Sapan Agarwal, Tu-Thach Quach, Ojas D. Parekh, Erik Debenedictis, Conrad D. James, Matthew Marinella, James Bradley Aimone, (2015). Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and its Application to Sparse Coding Frontiers in Neuroscience https://www.osti.gov/search/identifier:1236485 Document ID: 343176

Sandor Fekete, Kan Huang, Joseph S.B. Mitchell, Ojas D. Parekh, Cynthia Ann Phillips, (2015). Geometric hitting set for segments of few orientations Workshop on Approximation and Online Algorithms https://www.osti.gov/search/identifier:1332052 Document ID: 343302

Sapan Agarwal, Ojas D. Parekh, Tu-Thach Quach, Conrad D. James, James Bradley Aimone, Matthew Marinella, (2015). The Energy Scaling Advantages of RRAM Crossbars Fourth Berkeley Symposium on Energy Efficient Electronic Systems https://www.osti.gov/search/identifier:1327962 Document ID: 342339

William Mark Severa, James Bradley Aimone, Ojas D. Parekh, (2015). A Sparse Coding Model of the Hippocampal Dentate Gyrus 2016 Joint Mathematics Meetings Document ID: 321554

Sandor Fekete, Kan Huang, Joseph S. B. Mitchell, Ojas D. Parekh, Cynthia Ann Phillips, (2015). Geometric Hitting Set for Segments of Few Orientations Workshop on Approximation and Online Algorithms https://www.osti.gov/search/identifier:1325895 Document ID: 321374

Sapan Agarwal, Ojas D. Parekh, Tu-Thach Quach, Conrad D. James, James Bradley Aimone, Matthew Marinella, (2015). The Energy Scaling Advantages of RRAM Crossbars Fourth Berkeley Symposium on Energy Efficient Electronic Systems https://www.osti.gov/search/identifier:1261043 Document ID: 307428

Ojas D. Parekh, Jeremy D Wendt, Luke Nathan Shulenburger, Andrew J Landahl, Jonathan Edward Moussa, John B. Aidun, (2015). Benchmarking Adiabatic Quantum Optimization for Complex Network Analysis https://www.osti.gov/search/identifier:1459086 Document ID: 208030

Bugra Caskurlu, Vahan Mkrtchyan, Ojas D. Parekh, K. Subramani, (2015). On Bipartite Graphs, Trees and Their Partial Vertex Covers ACM Transactions on Algorithms https://www.osti.gov/search/identifier:1427215 Document ID: 243115

Vahan Mkrtchyan, Ojas D. Parekh, Danny Segev, K. Subramani, (2015). The Approximability of Partial Vertex Covers in Trees Discrete Applied Mathematics https://www.osti.gov/search/identifier:1427211 Document ID: 243117

Randolph Brost, Michelle Carroll, William C. McLendon, Ojas D. Parekh, David R. Strip, Mark Daniel Rintoul, Diane Woodbridge, (2015). Image-Based Algorithms – Semantic Graph Algorithms Nuclear Weapons Development and Material Production Detection (MPD) Program Review https://www.osti.gov/search/identifier:1245931 Document ID: 243026

Ojas D. Parekh, (2015). Benchmarking quantum annealing for complex network analysis on synthetic social networks Presentation from an internal workshop that is to be dissemenated to participants https://www.osti.gov/search/identifier:1245916 Document ID: 221807

Robert D. Carr, Ojas D. Parekh, (2015). A 2-edge-connected spanning subgraph problem University of New Mexico https://www.osti.gov/search/identifier:1240334 Document ID: 221756

Ojas D. Parekh, Robert D. Carr, (2015). Unearthing planted solutions in quantum-annealing-inspired Ising problems Quantum Optimization Workshop https://www.osti.gov/search/identifier:1504578 Document ID: 207584

Randolph Brost, William C. McLendon, Ojas D. Parekh, Mark Daniel Rintoul, David R. Strip, Diane Woodbridge, (2014). A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014) https://www.osti.gov/search/identifier:1242089 Document ID: 197446

Ojas D. Parekh, David Pritchard (University of Southern California), (2014). Generalized Hypergraph Matching via Iterated Packing and Local Ratio 12th Workshop on Approximation and Online Algorithms https://www.osti.gov/search/identifier:1502656 Document ID: 154997

Ojas D. Parekh, (2014). Benchmarking quantum annealing for community detection on synthetic social networks Workshop on Adiabatic Quantum Computation, 2014 https://www.osti.gov/search/identifier:1314564 Document ID: 101434

Mark Daniel Rintoul, Randolph Brost, William C. McLendon, Ojas D. Parekh, Diane Woodbridge, David R. Strip, (2014). A Computational Framework for Ontologically Storing and Analyzing Very Large Overhead Image Sets 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data https://www.osti.gov/search/identifier:1315002 Document ID: 154513

Mark Daniel Rintoul, Jean-Paul Watson, William C. McLendon, Ojas D. Parekh, Shawn Martin, David R. Strip, Carl Diegert, (2014). Encoding and Analyzing Aerial Imagery Using Geospatial Semantic Graphs https://www.osti.gov/search/identifier:1204099 Document ID: 5332604

Jane M. Poppenger, William C. McLendon, Ojas D. Parekh, Mark Daniel Rintoul, Diane Woodbridge, David R. Strip, (2014). Facility Search in Remote Sensing Data Using Geospatial Semantic Graphs Kdd 2014 https://www.osti.gov/search/identifier:1141268 Document ID: 5332931

Jane M. Poppenger, William C. McLendon, Ojas D. Parekh, Mark Daniel Rintoul, Diane Woodbridge, David R. Strip, (2014). Temporal Analysis and Change Detection via Geospatial-Temporal Semantic Graphs Kdd 2014 https://www.osti.gov/search/identifier:1141170 Document ID: 5332936

Cynthia Ann Phillips, Ojas D. Parekh, John Daniel Siirola, Jean-Paul Watson, Jonathan Eckstein, (2013). Hierarchical Parallel MIP 2013 DOE Applied Mathematics Program Meeting https://www.osti.gov/search/identifier:1106679 Document ID: 5326008

Jonathan David Sterk, Robin J Blume-Kohout, Ojas D. Parekh, Peter Lukas Wilhelm Maunz, Chris P. Tigges, Matthew G. Blain, Richard Colbaugh, Cort N Johnson, (2013). Quantum Graph Analysis with Trapped Yb Ion Qubits Second International Workshop on Adiabatic Quantum Computing https://www.osti.gov/search/identifier:1145353 Document ID: 5319526

Douglas P. Ghormley, William Eugene Hart, Patricia D. Hough, Ojas D. Parekh, Cynthia Ann Phillips, John Daniel Siirola, Laura Painton Swiler, Jean-Paul Watson, Herbert K.H. Lee, David L. Woodruff, (2012). Optimization of Large-Scale Heterogeneous System-of-Systems Models https://www.osti.gov/search/identifier:1034869 Document ID: 5303455

Robert D. Carr, Ojas D. Parekh, (2011). A 2-edge-connected spanning subgraph problem DOE Applied Mathematics Program Meeting https://www.osti.gov/search/identifier:1106816 Document ID: 5300878

Robert D. Carr, Ojas D. Parekh, (2011). Approximating a capacitated 2-edge-connected spanning subgraph problem Operations Research Letters https://www.osti.gov/search/identifier:1106938 Document ID: 5299589

Robert D. Carr, Ojas D. Parekh, (2011). Approximating a 2-edge-connected subgraph problem 2011 DOE Applied Mathematics Program Meeting https://www.osti.gov/search/identifier:1106512 Document ID: 5298771

Robert D. Carr, Cynthia Ann Phillips, Ojas D. Parekh, Harvey Greenberg, (2011). Towards Certficates for Integer Programming Computations 2011 DOE Applied Mathematics Program Meeting https://www.osti.gov/search/identifier:1106366 Document ID: 5298772