9 Publications

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[9]
2022 | Conference Paper | IST-REx-ID: 11180 | OA
Multi-queues can be state-of-the-art priority schedulers
A. Postnikova, N. Koval, G. Nadiradze, D.-A. Alistarh, in:, Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–367.
View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2021 | Journal Article | IST-REx-ID: 8286 | OA
Dynamic averaging load balancing on cycles
D.-A. Alistarh, G. Nadiradze, A. Sabour, Algorithmica (2021).
View | Files available | DOI | arXiv
 
[7]
2021 | Journal Article | IST-REx-ID: 8723 | OA
Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging
S. Li, T.B.-N. Tal Ben-Nun, G. Nadiradze, S.D. Girolamo, N. Dryden, D.-A. Alistarh, T. Hoefler, IEEE Transactions on Parallel and Distributed Systems 32 (2021).
View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10217 | OA
Lower bounds for shared-memory leader election under bounded write contention
D.-A. Alistarh, R. Gelashvili, G. Nadiradze, in:, 35th International Symposium on Distributed Computing, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021.
View | Files available | DOI
 
[5]
2021 | Thesis | IST-REx-ID: 10429 | OA
On achieving scalability through relaxation
G. Nadiradze, On Achieving Scalability through Relaxation, IST Austria, 2021.
View | Files available | DOI
 
[4]
2021 | Conference Paper | IST-REx-ID: 10432 | OA
Elastic consistency: A practical consistency model for distributed stochastic gradient descent
G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 9037–9045.
View | Files available | Download Published Version (ext.) | arXiv
 
[3]
2021 | Conference Paper | IST-REx-ID: 10435 | OA
Asynchronous decentralized SGD with quantized and local updates
G. Nadiradze, A. Sabour, P. Davies, S. Li, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, NeurIPS, 2021.
View | Files available | Download Published Version (ext.) | arXiv
 
[2]
2019 | Conference Paper | IST-REx-ID: 6673 | OA
Efficiency guarantees for parallel incremental algorithms under relaxed schedulers
D.-A. Alistarh, G. Nadiradze, N. Koval, in:, 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM Press, 2019, pp. 145–154.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
2017 | Conference Paper | IST-REx-ID: 791 | OA
The power of choice in priority scheduling
D.-A. Alistarh, J. Kopinsky, J. Li, G. Nadiradze, in:, Proceedings of the ACM Symposium on Principles of Distributed Computing, ACM, 2017, pp. 283–292.
View | DOI | Download Submitted Version (ext.)
 

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9 Publications

Mark all

[9]
2022 | Conference Paper | IST-REx-ID: 11180 | OA
Multi-queues can be state-of-the-art priority schedulers
A. Postnikova, N. Koval, G. Nadiradze, D.-A. Alistarh, in:, Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–367.
View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2021 | Journal Article | IST-REx-ID: 8286 | OA
Dynamic averaging load balancing on cycles
D.-A. Alistarh, G. Nadiradze, A. Sabour, Algorithmica (2021).
View | Files available | DOI | arXiv
 
[7]
2021 | Journal Article | IST-REx-ID: 8723 | OA
Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging
S. Li, T.B.-N. Tal Ben-Nun, G. Nadiradze, S.D. Girolamo, N. Dryden, D.-A. Alistarh, T. Hoefler, IEEE Transactions on Parallel and Distributed Systems 32 (2021).
View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10217 | OA
Lower bounds for shared-memory leader election under bounded write contention
D.-A. Alistarh, R. Gelashvili, G. Nadiradze, in:, 35th International Symposium on Distributed Computing, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021.
View | Files available | DOI
 
[5]
2021 | Thesis | IST-REx-ID: 10429 | OA
On achieving scalability through relaxation
G. Nadiradze, On Achieving Scalability through Relaxation, IST Austria, 2021.
View | Files available | DOI
 
[4]
2021 | Conference Paper | IST-REx-ID: 10432 | OA
Elastic consistency: A practical consistency model for distributed stochastic gradient descent
G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 9037–9045.
View | Files available | Download Published Version (ext.) | arXiv
 
[3]
2021 | Conference Paper | IST-REx-ID: 10435 | OA
Asynchronous decentralized SGD with quantized and local updates
G. Nadiradze, A. Sabour, P. Davies, S. Li, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, NeurIPS, 2021.
View | Files available | Download Published Version (ext.) | arXiv
 
[2]
2019 | Conference Paper | IST-REx-ID: 6673 | OA
Efficiency guarantees for parallel incremental algorithms under relaxed schedulers
D.-A. Alistarh, G. Nadiradze, N. Koval, in:, 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM Press, 2019, pp. 145–154.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
2017 | Conference Paper | IST-REx-ID: 791 | OA
The power of choice in priority scheduling
D.-A. Alistarh, J. Kopinsky, J. Li, G. Nadiradze, in:, Proceedings of the ACM Symposium on Principles of Distributed Computing, ACM, 2017, pp. 283–292.
View | DOI | Download Submitted Version (ext.)
 

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