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ORCIDSriram Krishnamoorthy
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2020 – today
- 2023
[e1]Maryam Mehri Dehnavi, Milind Kulkarni, Sriram Krishnamoorthy:
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2023, Montreal, QC, Canada, 25 February 2023 - 1 March 2023. ACM 2023, ISBN 979-8-4007-0015-6 [contents]- 2022
- [c122]Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, Sriram Krishnamoorthy:
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning. CLUSTER 2022: 289-300 - [i12]Erdal Mutlu, Ajay Panyala, Karol Kowalski, Nicholas P. Bauman, Bo Peng, Jiri Brabec, Sriram Krishnamoorthy:
TAMM: Tensor Algebra for Many-body Methods. CoRR abs/2201.01257 (2022) - [i11]Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, Sriram Krishnamoorthy:
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning. CoRR abs/2205.06973 (2022) - 2021
- [j28]Bo Peng
, Ajay Panyala, Karol Kowalski, Sriram Krishnamoorthy:
GFCCLib: Scalable and efficient coupled-cluster Green's function library for accurately tackling many-body electronic structure problems. Comput. Phys. Commun. 265: 108000 (2021) - [j27]Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman:
PaKman: A Scalable Algorithm for Generating Genomic Contigs on Distributed Memory Machines. IEEE Trans. Parallel Distributed Syst. 32(5): 1191-1209 (2021) - [c121]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CLUSTER 2021: 409-420 - [c120]Arnab Das, Tanmay Tirpankar, Ganesh Gopalakrishnan, Sriram Krishnamoorthy:
Robustness Analysis of Loop-Free Floating-Point Programs via Symbolic Automatic Differentiation. CLUSTER 2021: 481-491 - [c119]Ang Li, Bo Fang, Christopher E. Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, Sriram Krishnamoorthy:
SV-sim: scalable PGAS-based state vector simulation of quantum circuits. SC 2021: 97 - [i10]Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques Pienaar, Gokcen Kestor:
COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry. CoRR abs/2102.06827 (2021) - [i9]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CoRR abs/2105.12929 (2021) - 2020
- [j26]Ian Briggs, Arnab Das, Mark Baranowski, Vishal Chandra Sharma, Sriram Krishnamoorthy, Zvonimir Rakamaric, Ganesh Gopalakrishnan:
FailAmp: Relativization Transformation for Soft Error Detection in Structured Address Generation. ACM Trans. Archit. Code Optim. 16(4): 50:1-50:21 (2020) - [j25]Amir Hossein Nodehi Sabet, Junqiao Qiu, Zhijia Zhao, Sriram Krishnamoorthy:
Reliability Analysis for Unreliable FSM Computations. ACM Trans. Archit. Code Optim. 17(2): 12:1-12:23 (2020) - [j24]Arnab Das, Sriram Krishnamoorthy, Ian Briggs, Ganesh Gopalakrishnan, Ramakrishna Tipireddy:
FPDetect: Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation. ACM Trans. Archit. Code Optim. 17(3): 19:1-19:27 (2020) - [c118]Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques Pienaar, Gokcen Kestor:
COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry. LCPC 2020: 87-103 - [c117]Ang Li, Omer Subasi, Xiu Yang, Sriram Krishnamoorthy:
Density matrix quantum circuit simulation via the BSP machine on modern GPU clusters. SC 2020: 13 - [c116]Arnab Das, Ian Briggs, Ganesh Gopalakrishnan, Sriram Krishnamoorthy, Pavel Panchekha:
Scalable yet rigorous floating-point error analysis. SC 2020: 51 - [c115]Jinsung Kim, Ajay Panyala, Bo Peng, Karol Kowalski, P. Sadayappan, Sriram Krishnamoorthy:
Scalable heterogeneous execution of a coupled-cluster model with perturbative triples. SC 2020: 79 - [i8]Arnab Das, Sriram Krishnamoorthy, Ian Briggs, Ganesh Gopalakrishnan, Ramakrishna Tipireddy:
FPDetect: Efficient Reasoning About Stencil Programs Using Selective Direct Evaluation. CoRR abs/2004.04359 (2020) - [i7]Arnab Das, Ian Briggs, Ganesh Gopalakrishnan, Sriram Krishnamoorthy:
An Abstraction-guided Approach to Scalable and Rigorous Floating-Point Error Analysis. CoRR abs/2004.11960 (2020) - [i6]Saurav Roy, Arkka Bhattacharyya, Sriram Krishnamoorthy:
Design of a β-Ga2O3 Schottky Barrier Diode With p-type III-Nitride Guard Ring for Enhanced Breakdown. CoRR abs/2006.15645 (2020) - [i5]Saurav Roy, Arkka Bhattacharyya, Sriram Krishnamoorthy:
Analytical Modeling and Design of Gallium Oxide Schottky Barrier Diodes Beyond Unipolar Figure of Merit Using High-k Dielectric Superjunction Structures. CoRR abs/2008.00280 (2020)
2010 – 2019
- 2019
- [j23]Bin Ren, Shruthi Balakrishna, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni:
Extracting SIMD Parallelism from Recursive Task-Parallel Programs. ACM Trans. Parallel Comput. 6(4): 24:1-24:37 (2019) - [c114]Christopher Wright, Sriram Krishnamoorthy, Milind Kulkarni:
MULKSG: MULtiple K Simultaneous Graph Assembly. AlCoB 2019: 125-136 - [c113]Jinsung Kim, Aravind Sukumaran-Rajam, Vineeth Thumma, Sriram Krishnamoorthy, Ajay Panyala, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan:
A Code Generator for High-Performance Tensor Contractions on GPUs. CGO 2019: 85-95 - [c112]Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy:
Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. DSN (Supplements) 2019: 13-14 - [c111]Arif M. Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen, Sriram Krishnamoorthy:
Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits. HiPC 2019: 52-62 - [c110]Burcu Ozcelik Mutlu, Gokcen Kestor, Adrián Cristal, Osman S. Unsal, Sriram Krishnamoorthy:
Ground-Truth Prediction to Accelerate Soft-Error Impact Analysis for Iterative Methods. HiPC 2019: 333-344 - [c109]Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy:
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. ICPP 2019: 81:1-81:10 - [c108]Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy:
BonVoision: leveraging spatial data smoothness for recovery from memory soft errors. ICS 2019: 484-496 - [c107]Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman:
PaKman: Scalable Assembly of Large Genomes on Distributed Memory Machines. IPDPS 2019: 578-589 - [c106]Biresh Kumar Joardar, Priyanka Ghosh, Partha Pratim Pande, Ananth Kalyanaraman, Sriram Krishnamoorthy:
NoC-enabled software/hardware co-design framework for accelerating k-mer counting. NOCS 2019: 4:1-4:8 - [c105]Erdal Mutlu, Karol Kowalski, Sriram Krishnamoorthy:
Toward generalized tensor algebra for ab initio quantum chemistry methods. ARRAY@PLDI 2019: 46-56 - [c104]Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan:
An efficient mixed-mode representation of sparse tensors. SC 2019: 49:1-49:25 - [i4]Guang Hao Low, Nicholas P. Bauman, Christopher E. Granade, Bo Peng, Nathan Wiebe, Eric J. Bylaska, Dave Wecker, Sriram Krishnamoorthy, Martin Roetteler, Karol Kowalski, Matthias Troyer, Nathan A. Baker:
Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers. CoRR abs/1904.01131 (2019) - [i3]Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy:
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. CoRR abs/1904.06825 (2019) - 2018
- [j22]Wenlei Bao, Sriram Krishnamoorthy, Louis-Noël Pouchet, P. Sadayappan:
Analytical modeling of cache behavior for affine programs. Proc. ACM Program. Lang. 2(POPL): 32:1-32:26 (2018) - [j21]Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustain. Comput. Informatics Syst. 19: 277-290 (2018) - [j20]Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu:
NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks. ACM Trans. Archit. Code Optim. 15(2): 24:1-24:26 (2018) - [j19]Sangmin Seo, Abdelhalim Amer, Pavan Balaji, Cyril Bordage, George Bosilca, Alex Brooks, Philip H. Carns, Adrián Castelló, Damien Genet, Thomas Hérault, Shintaro Iwasaki, Prateek Jindal, Laxmikant V. Kalé, Sriram Krishnamoorthy, Jonathan Lifflander, Huiwei Lu, Esteban Meneses, Marc Snir, Yanhua Sun, Kenjiro Taura, Peter H. Beckman:
Argobots: A Lightweight Low-Level Threading and Tasking Framework. IEEE Trans. Parallel Distributed Syst. 29(3): 512-526 (2018) - [c103]Gokcen Kestor, Ivy Bo Peng, Roberto Gioiosa, Sriram Krishnamoorthy:
Understanding scale-Dependent soft-Error Behavior of Scientific Applications. CCGrid 2018: 482-491 - [c102]Omer Subasi, Sriram Krishnamoorthy:
On the theory of speculative checkpointing: time and energy considerations. CF 2018: 165-172 - [c101]Gokcen Kestor, Burcu Ozcelik Mutlu, Joseph B. Manzano, Omer Subasi, Osman S. Unsal, Sriram Krishnamoorthy:
Comparative analysis of soft-error detection strategies: a case study with iterative methods. CF 2018: 173-182 - [c100]Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Xu Liu:
Lightweight detection of cache conflicts. CGO 2018: 200-213 - [c99]Omer Subasi, Ramakrishna Tipireddy, Sriram Krishnamoorthy:
Quantification, Trade-off Analysis, and Optimal Checkpoint Placement for Reliability and Availability. HiPC 2018: 183-192 - [c98]Burcu Ozcelik Mutlu, Gokcen Kestor, Joseph B. Manzano, Osman S. Unsal, Samrat Chatterjee, Sriram Krishnamoorthy:
Characterization of the Impact of Soft Errors on Iterative Methods. HiPC 2018: 203-214 - [c97]Omer Subasi, Chun-Kai Chang, Mattan Erez, Sriram Krishnamoorthy:
Characterizing the Impact of Soft Errors Affecting Floating-point ALUs using RTL-Ievel Fault Injection. ICPP 2018: 59:1-59:10 - [c96]Jinsung Kim, Aravind Sukumaran-Rajam, Changwan Hong, Ajay Panyala, Rohit Kumar Srivastava, Sriram Krishnamoorthy, P. Sadayappan:
Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs. ICS 2018: 96-106 - [c95]Jyothi Vedurada, Arjun Suresh, Aravind Sukumaran-Rajam, Jinsung Kim, Changwan Hong, Ajay Panyala, Sriram Krishnamoorthy, V. Krishna Nandivada, Rohit Kumar Srivastava, P. Sadayappan:
TTLG - An Efficient Tensor Transposition Library for GPUs. IPDPS 2018: 578-588 - [c94]Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan:
GPU code optimization using abstract kernel emulation and sensitivity analysis. PLDI 2018: 736-751 - [c93]Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan:
Performance modeling for GPUs using abstract kernel emulation. PPoPP 2018: 397-398 - [c92]Erdal Mutlu, Ajay Panyala, Sriram Krishnamoorthy:
HPC Software Verification in Action: A Case Study with Tensor Transposition. CORRECTNESS@SC 2018: 9-16 - 2017
- [c91]Omer Subasi, Gokcen Kestor, Sriram Krishnamoorthy:
Toward a General Theory of Optimal Checkpoint Placement. CLUSTER 2017: 464-474 - [c90]Omer Subasi, Sriram Krishnamoorthy:
A Gaussian Process Approach for Effective Soft Error Detection. CLUSTER 2017: 608-612 - [c89]Omer Subasi, Sheng Di, Prasanna Balaprakash, Osman S. Unsal, Jesús Labarta, Adrián Cristal, Sriram Krishnamoorthy, Franck Cappello:
MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. CLUSTER 2017: 717-724 - [c88]Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy:
Approximate Computing Techniques for Iterative Graph Algorithms. HiPC 2017: 23-32 - [c87]Jordyn Maglalang, Sriram Krishnamoorthy, Kunal Agrawal:
Locality-Aware Dynamic Task Graph Scheduling. ICPP 2017: 70-80 - [c86]Gokcen Kestor, Sriram Krishnamoorthy, Wenjing Ma:
Localized Fault Recovery for Nested Fork-Join Programs. IPDPS 2017: 397-408 - [c85]Wenlei Bao, Prashant Singh Rawat, Martin Kong, Sriram Krishnamoorthy, Louis-Noël Pouchet, P. Sadayappan:
Efficient Cache Simulation for Affine Computations. LCPC 2017: 65-85 - [c84]Jonathan Lifflander, Sriram Krishnamoorthy:
Cache locality optimization for recursive programs. PLDI 2017: 1-16 - [c83]Bin Ren, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni:
Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs. PPoPP 2017: 117-130 - [c82]Samyam Rajbhandari, Fabrice Rastello, Karol Kowalski, Sriram Krishnamoorthy, P. Sadayappan:
Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis. PPoPP 2017: 327-340 - [c81]Omer Subasi, Osman S. Unsal, Sriram Krishnamoorthy:
Automatic Risk-based Selective Redundancy for Fault-tolerant Task-parallel HPC Applications. ESPM2@SC 2017: 2:1-2:8 - [i2]Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu, Sriram Krishnamoorthy, Ignacio Laguna, Richard A. Lethin, Koushik Sen, Stephen F. Siegel, Armando Solar-Lezama:
Report of the HPC Correctness Summit, Jan 25-26, 2017, Washington, DC. CoRR abs/1705.07478 (2017) - 2016
- [j18]Humayun Arafat, James Dinan, Sriram Krishnamoorthy, Pavan Balaji, P. Sadayappan:
Work stealing for GPU-accelerated parallel programs in a global address space framework. Concurr. Comput. Pract. Exp. 28(13): 3637-3654 (2016) - [j17]Wenlei Bao, Changwan Hong, Sudheer Chunduri, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan:
Static and Dynamic Frequency Scaling on Multicore CPUs. ACM Trans. Archit. Code Optim. 13(4): 51:1-51:26 (2016) - [j16]Mehmet Can Kurt, Sriram Krishnamoorthy, Gagan Agrawal, Bin Ren:
User-Assisted Store Recycling for Dynamic Task Graph Schedulers. ACM Trans. Archit. Code Optim. 13(4): 55:1-55:24 (2016) - [c80]Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, Robert J. Harrison, P. Sadayappan:
On fusing recursive traversals of K-d trees. CC 2016: 152-162 - [c79]Vishal Chandra Sharma, Ganesh Gopalakrishnan, Sriram Krishnamoorthy:
PRESAGE: Protecting Structured Address Generation against Soft Errors. HiPC 2016: 252-261 - [c78]Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen:
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. HPDC 2016: 43-55 - [c77]Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren:
On the Impact of Widening Vector Registers on Sequence Alignment. ICPP 2016: 506-515 - [c76]Vishal Chandra Sharma, Ganesh Gopalakrishnan, Sriram Krishnamoorthy:
Towards Resiliency Evaluation of Vector Programs. IPDPS Workshops 2016: 1319-1328 - [c75]Changwan Hong, Wenlei Bao, Albert Cohen, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan:
Effective padding of multidimensional arrays to avoid cache conflict misses. PLDI 2016: 129-144 - [c74]Wenlei Bao, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan:
PolyCheck: dynamic verification of iteration space transformations on affine programs. POPL 2016: 539-554 - [c73]Mehmet Can Kurt, Bin Ren, Sriram Krishnamoorthy, Gagan Agrawal:
User-assisted storage reuse determination for dynamic task graphs. PPoPP 2016: 54:1-54:2 - [c72]Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, Robert J. Harrison, P. Sadayappan:
A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment. SC 2016: 468-479 - [i1]Vishal Chandra Sharma, Ganesh Gopalakrishnan, Sriram Krishnamoorthy:
PRESAGE: Protecting Structured Address Generation against Soft Errors. CoRR abs/1606.08948 (2016) - 2015
- [j15]Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu:
A work stealing based approach for enabling scalable optimal sequence homology detection. J. Parallel Distributed Comput. 79-80: 132-142 (2015) - [j14]Daniel G. Chavarría-Miranda, Ajay Panyala, Wenjing Ma, Adrian Prantl, Sriram Krishnamoorthy:
Global transformations for legacy parallel applications via structural analysis and rewriting. Parallel Comput. 43: 1-26 (2015) - [c71]Sriram Krishnamoorthy, Tobias Hilbrich, Darren J. Kerbyson, Ramakrishnan Rajamony, Charles C. Weems:
HIPS-LSPP Introduction and Committees. IPDPS Workshops 2015: 202-203 - [c70]Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano, Abhinav Vishnu, Adolfy Hoisie:
On the Impact of Execution Models: A Case Study in Computational Chemistry. IPDPS Workshops 2015: 255-264 - [c69]Bin Ren, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni:
Efficient execution of recursive programs on commodity vector hardware. PLDI 2015: 509-520 - [c68]Shaizeen Aga, Sriram Krishnamoorthy, Satish Narayanasamy:
CilkSpec: optimistic concurrency for Cilk. SC 2015: 83:1-83:12 - 2014
- [j13]Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V. Adve, Saurabh Bagchi, Pavan Balaji, James F. Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan DeBardeleben, Pedro C. Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson, Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd S. Munson, Rob Schreiber, Jon Stearley, Eric Van Hensbergen:
Addressing failures in exascale computing. Int. J. High Perform. Comput. Appl. 28(2): 129-173 (2014) - [j12]Sriram Krishnamoorthy, J. Ramanujam, P. Sadayappan:
Introduction to the JPDC Special Issue on Domain-Specific Languages and High-Level Frameworks for High-Performance Computing. J. Parallel Distributed Comput. 74(12): 3175 (2014) - [c67]Jonathan Lifflander, Esteban Meneses, Harshitha Menon, Phil Miller, Sriram Krishnamoorthy, Laxmikant V. Kalé:
Scalable replay with partial-order dependencies for message-logging fault tolerance. CLUSTER 2014: 19-28 - [c66]Samyam Rajbhandari, Akshay Nikam, Pai-Wei Lai, Kevin Stock, Sriram Krishnamoorthy, P. Sadayappan:
CAST: Contraction Algorithm for Symmetric Tensors. ICPP 2014: 261-272 - [c65]Humayun Arafat, Sriram Krishnamoorthy, P. Sadayappan:
Checksumming Strategies for Data in Volatile Memories. ICPP Workshops 2014: 245-254 - [c64]Sanket Tavarageri, Sriram Krishnamoorthy, P. Sadayappan:
Compiler-assisted detection of transient memory errors. PLDI 2014: 204-215 - [c63]Samyam Rajbhandari, Akshay Nikam, Pai-Wei Lai, Kevin Stock, Sriram Krishnamoorthy, P. Sadayappan:
A Communication-Optimal Framework for Contracting Distributed Tensors. SC 2014: 375-386 - [c62]Mehmet Can Kurt, Sriram Krishnamoorthy, Kunal Agrawal, Gagan Agrawal:
Fault-Tolerant Dynamic Task Graph Scheduling. SC 2014: 719-730 - [c61]Jonathan Lifflander, Sriram Krishnamoorthy, Laxmikant V. Kalé:
Optimizing Data Locality for Fork/Join Programs Using Constrained Work Stealing. SC 2014: 857-868 - 2013
- [j11]Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski, Gagan Agrawal:
Optimizing tensor contraction expressions for hybrid CPU-GPU execution. Clust. Comput. 16(1): 131-155 (2013) - [j10]Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily:
Multi-Fault Tolerance for Cartesian Data Distributions. Int. J. Parallel Program. 41(3): 469-493 (2013) - [j9]Marc-André Hermanns, Sriram Krishnamoorthy, Felix Wolf:
A scalable infrastructure for the performance analysis of passive target synchronization. Parallel Comput. 39(3): 132-145 (2013) - [c60]Xin Huo, Sriram Krishnamoorthy, Gagan Agrawal:
Efficient scheduling of recursive control flow on GPUs. ICS 2013: 409-420 - [c59]Jonathan Lifflander, Sriram Krishnamoorthy, Laxmikant V. Kalé:
Steal Tree: low-overhead tracing of work stealing schedulers. PLDI 2013: 507-518 - [c58]Pai-Wei Lai, Kevin Stock, Samyam Rajbhandari, Sriram Krishnamoorthy, P. Sadayappan:
A framework for load balancing of tensor contraction expressions via dynamic task partitioning. SC 2013: 13:1-13:10 - 2012
- [j8]Jeff R. Hammond, Sriram Krishnamoorthy, Sameer Shende, Nichols A. Romero, Allen D. Malony:
Performance characterization of global address space applications: a case study with NWChem. Concurr. Comput. Pract. Exp. 24(2): 135-154 (2012) - [j7]Qingda Lu, Xiaoyang Gao, Sriram Krishnamoorthy, Gerald Baumgartner, J. Ramanujam, P. Sadayappan:
Empirical performance model-driven data layout optimization and library call selection for tensor contraction expressions. J. Parallel Distributed Comput. 72(3): 338-352 (2012) - [c57]Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy, Abhinav Vishnu:
Global Futures: A Multithreaded Execution Model for Global Arrays-based Applications. CCGRID 2012: 393-401 - [c56]Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal:
Parameterized micro-benchmarking: an auto-tuning approach for complex applications. Conf. Computing Frontiers 2012: 213-222 - [c55]Jeff Daily, Sriram Krishnamoorthy, Ananth Kalyanaraman:
Towards scalable optimal sequence homology detection. HiPC 2012: 1-8 - [c54]Jonathan Lifflander, Sriram Krishnamoorthy, Laxmikant V. Kalé:
Work stealing and persistence-based load balancers for iterative overdecomposed applications. HPDC 2012: 137-148 - [c53]Ajay Panyala, Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy:
On the Use of Term Rewriting for Performance Ooptimization of Legacy HPC Applications. ICPP 2012: 399-409 - [c52]Wenjing Ma, Sriram Krishnamoorthy:
Data-driven fault tolerance for work stealing computations. ICS 2012: 79-90 - [c51]Humayun Arafat, P. Sadayappan, James Dinan, Sriram Krishnamoorthy, Theresa L. Windus:
Load Balancing of Dynamical Nucleation Theory Monte Carlo Simulations through Resource Sharing Barriers. IPDPS 2012: 285-295 - [c50]James Dinan, Pavan Balaji, Jeff R. Hammond, Sriram Krishnamoorthy, Vinod Tipparaju:
Supporting the Global Arrays PGAS Model Using MPI One-Sided Communication. IPDPS 2012: 739-750 - 2011
- [c49]Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal:
Parameterized Micro-benchmarking: An Auto-tuning Approach for Complex Applications. PACT 2011: 181-182 - [c48]