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2020 – today
- 2024
[c27]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison:
TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings. ICPR (29) 2024: 337-353- 2023
- [c26]Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig:
Benchmarking Generative AI Performance Requires a Holistic Approach. TPCTC 2023: 34-43 - [c25]Miro Hodak, David Ellison, Chris Van Buren, Xiaotong Jiang, Ajay Dholakia:
Benchmarking Large Language Models: Opportunities and Challenges. TPCTC 2023: 77-89 - [i3]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison:
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings. CoRR abs/2306.11955 (2023) - 2022
- [j8]Gusseppe Bravo Rocca
, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. Expert Syst. Appl. 202: 117232 (2022) - [c24]Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. CCGRID 2022: 376-385 - [c23]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. COMPSAC 2022: 32-37 - [c22]Yingrui Liu Olesiuk, Miro Hodak, David Ellison, Ajay Dholakia:
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI. TPCTC 2022: 67-77 - [c21]Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta:
Benchmarking Considerations for Trustworthy and Responsible AI (Panel). TPCTC 2022: 110-119 - [i2]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. CoRR abs/2204.14255 (2022) - 2021
- [c20]Miro Hodak, Ajay Dholakia:
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability. IEEE BigData 2021: 2040-2045 - [c19]Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. Middleware Demos/Posters 2021: 1-2 - [c18]Miro Hodak, David Ellison, Ajay Dholakia:
Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results. TPCTC 2021: 50-61 - [i1]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. CoRR abs/2111.03003 (2021) - 2020
- [j7]Carla Sauvanaud, Ajay Dholakia, Jordi Guitart, Chulho Kim, Peter Mayes:
Big data deployment in containerized infrastructures through the interconnection of network namespaces. Softw. Pract. Exp. 50(7): 1087-1113 (2020) - [c17]Miro Hodak, David Ellison, Ajay Dholakia:
Benchmarking AI Inference: Where we are in 2020. TPCTC 2020: 93-102
2010 – 2019
- 2019
- [c16]Miro Hodak, Masha Gorkovenko, Ajay Dholakia:
Towards Power Efficiency in Deep Learning on Data Center Hardware. IEEE BigData 2019: 1814-1820 - [c15]Miro Hodak, Ajay Dholakia:
Challenges in Distributed MLPerf. TPCTC 2019: 39-46 - 2018
- [c14]Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia:
Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching. IEEE BigData 2018: 1945-1950 - [c13]Raghunath Nambiar, Shahram Ghandeharizadeh, Gary Little, Christoph Boden, Ajay Dholakia:
Industry Panel on Defining Industry Standards for Benchmarking Artificial Intelligence. TPCTC 2018: 1-6 - [c12]Miro Hodak, Ajay Dholakia:
Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment. TPCTC 2018: 82-93 - 2017
- [c11]Ajay Dholakia, Prasad Venkatachar, Kshitij A. Doshi, Ravikanth Durgavajhala, Stewart Tate, Berni Schiefer, Matthew Sheard, Ramnath Sai Sagar:
Designing a high performance cluster for large-scale SQL-on-hadoop analytics. IEEE BigData 2017: 1701-1703
2000 – 2009
- 2008
- [j6]Ajay Dholakia, Evangelos Eleftheriou, Xiao-Yu Hu, Ilias Iliadis, Jai Menon, K. K. Rao:
A new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors. ACM Trans. Storage 4(1): 1:1-1:42 (2008) - 2006
- [c10]Ajay Dholakia, Evangelos Eleftheriou, Xiao-Yu Hu, Ilias Iliadis, Jai Menon, K. K. Rao:
Analysis of a new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors. SIGMETRICS/Performance 2006: 373-374 - 2005
- [j5]Jinghu Chen, Ajay Dholakia, Evangelos Eleftheriou, Marc P. C. Fossorier, Xiao-Yu Hu:
Reduced-Complexity Decoding of LDPC Codes. IEEE Trans. Commun. 53(8): 1288-1299 (2005) - 2004
- [j4]Ajay Dholakia, Evangelos Eleftheriou, Thomas Mittelholzer, Marc P. C. Fossorier:
Capacity-approaching codes: can they be applied to the magnetic recording channel? IEEE Commun. Mag. 42(2): 122-130 (2004) - [c9]Ajay Dholakia, Sedat Ölçer:
Rate-compatible low-density parity-check codes for digital subscriber lines. ICC 2004: 415-419 - [c8]Ajay Dholakia, Sedat Ölçer:
Rate-compatible array LDPC codes. ISIT 2004: 153 - 2003
- [c7]Evangelos Eleftheriou, Peter Bächtold, Giovanni Cherubini, Ajay Dholakia, Christoph Hagleitner, Teddy Loeliger, Aggeliki Pantazi, Haralampos Pozidis, T. R. Albrecht, Gerd Karl Binnig, Michel Despont, Ute Drechsler, Urs Dürig, Bernd Gotsmann, Daniel Jubin, Walter Häberle, Mark A. Lantz, Hugo E. Rothuizen, Richard Stutz, Peter Vettiger, Dorothea Wiesmann:
A Nanotechnology-based Approach to Data Storage. VLDB 2003: 3-7 - 2001
- [c6]Xiao-Yu Hu, Evangelos Eleftheriou, Dieter-Michael Arnold, Ajay Dholakia:
Efficient implementations of the sum-product algorithm for decoding LDPC codes. GLOBECOM 2001: 1036 - [c5]Michael Tüchler, Christian Weiss, Evangelos Eleftheriou, Ajay Dholakia, Joachim Hagenauer:
Application of high-rate tail-biting codes to generalized partial response channels. GLOBECOM 2001: 2966-2971
1990 – 1999
- 1998
- [j3]Gaurav Sharma, Amer A. Hassan, Ajay Dholakia:
Performance evaluation of burst-error-correcting codes on a Gilbert-Elliott channel. IEEE Trans. Commun. 46(7): 846-849 (1998) - [j2]Donald L. Bitzer, Ajay Dholakia, Havish Koorapaty, Mladen A. Vouk:
On Locally Invertible Rate-1/n Convolutional Encoders. IEEE Trans. Inf. Theory 44(1): 420-431 (1998) - 1995
- [j1]Ajay Dholakia, Mladen A. Vouk, Donald L. Bitzer:
Table based decoding of rate one-half convolutional codes. IEEE Trans. Commun. 43(2/3/4): 681-686 (1995) - 1994
- [c4]Ajay Dholakia, Mladen A. Vouk, Donald L. Bitzer:
A variable-redundancy hybrid ARQ scheme using invertible convolutional codes. VTC 1994: 1417-1420 - 1993
- [c3]Ajay Dholakia, Mladen A. Vouk, Donald L. Bitzer:
A Lost Cell Recovery Technique Using Convolutional Coding at the ATM Adaptation Layer in B-ISDN/ATM. Data Communication Networks and their Performance 1993: 141-159 - 1992
- [c2]Ajay Dholakia, T. M. Lee, Donald L. Bitzer, Mladen A. Vouk, L. Wang, Paul D. Franzon:
An efficient table-driven decoder for one-half rate convolutional codes. ACM Southeast Regional Conference 1992: 116-123 - [c1]Havish Koorapaty, Donald L. Bitzer, Ajay Dholakia, Mladen A. Vouk:
Table-Driven Decoding of Convolutional Codes with Soft Decision. Coding And Quantization 1992: 199-205
Coauthor Index
aka: Miroslav Hodak
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