متابعة
Amir Yazdanbakhsh
Amir Yazdanbakhsh
Research Scientist at Google DeepMind
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Self-refine: Iterative Refinement with Self-Feedback‏
A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ...‏
Advances in Neural Information Processing Systems 36, 2024‏
12952024
AxBench: A Multiplatform Benchmark Suite for Approximate Computing‏
A Yazdanbakhsh, D Mahajan, H Esmaeilzadeh, P Lotfi-Kamran‏
IEEE Design & Test 34 (2), 60-68, 2017‏
3082017
General-purpose Code Acceleration with Limited-precision Analog Computation‏
R St. Amant, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh, ...‏
ACM SIGARCH Computer Architecture News 42 (3), 505-516, 2014‏
2602014
TABLA: A Unified Template-based Framework for Accelerating Statistical Machine Learning‏
D Mahajan, J Park, E Amaro, H Sharma, A Yazdanbakhsh, JK Kim, ...‏
2016 IEEE International Symposium on High Performance Computer Architecture …, 2016‏
2152016
SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks‏
V Akhlaghi, A Yazdanbakhsh, K Samadi, RK Gupta, H Esmaeilzadeh‏
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018‏
212*2018
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks‏
A Yazdanbakhsh, AT Elthakeb, P Pilligundla, FS Mireshghallah, ...‏
184*2018
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks‏
K Seshadri, B Akin, J Laudon, R Narayanaswami, A Yazdanbakhsh‏
IISWC, 2022‏
158*2022
Neural Acceleration for GPU Throughput Processors‏
A Yazdanbakhsh, J Park, H Sharma, P Lotfi-Kamran, H Esmaeilzadeh‏
Proceedings of the 48th international symposium on microarchitecture, 482-493, 2015‏
1422015
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks‏
A Yazdanbakhsh, H Falahati, PJ Wolfe, H Esmaeilzadeh, K Samadi‏
2018 ACM/IEEE 45th annual international symposium on computer architecture …, 2018‏
1252018
What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study‏
A Madaan, K Hermann, A Yazdanbakhsh‏
Findings of the Association for Computational Linguistics: EMNLP 2023, 1448-1535, 2023‏
116*2023
RFVP: Rollback-free Value Prediction with Safe-to-Approximate Loads‏
A Yazdanbakhsh, G Pekhimenko, B Thwaites, H Esmaeilzadeh, O Mutlu, ...‏
ACM Transactions on Architecture and Code Optimization (TACO) 12 (4), 1-26, 2016‏
1002016
Axilog: Language Support for Approximate Hardware Design‏
A Yazdanbakhsh, D Mahajan, B Thwaites, J Park, A Nagendrakumar, ...‏
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 812-817, 2015‏
972015
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation‏
BH Ahn, P Pilligundla, A Yazdanbakhsh, H Esmaeilzadeh‏
arXiv preprint arXiv:2001.08743, 2020‏
922020
FlexiGAN: An end-to-end Solution for FPGA Acceleration of Generative Adversarial Networks‏
A Yazdanbakhsh, M Brzozowski, B Khaleghi, S Ghodrati, K Samadi, ...‏
2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018‏
872018
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration‏
D Mahajan, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh‏
ACM SIGARCH Computer Architecture News 44 (3), 66-77, 2016‏
692016
Rollback-free Value Prediction with Approximate Loads‏
B Thwaites, G Pekhimenko, H Esmaeilzadeh, A Yazdanbakhsh, O Mutlu, ...‏
Proceedings of the 23rd international conference on Parallel architectures …, 2014‏
622014
Learning Performance-Improving Code Edits‏
AG Shypula, A Madaan, Y Zeng, U Alon, JR Gardner, Y Yang, M Hashemi, ...‏
ICLR (Spotlight), 2024‏
602024
FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks‏
SC Kao, S Subramanian, G Agrawal, A Yazdanbakhsh, T Krishna‏
arXiv preprint arXiv:2107.06419v7, 2022‏
582022
Towards the Co-design of Neural Networks and Accelerators‏
Y Zhou, X Dong, T Meng, M Tan, B Akin, D Peng, A Yazdanbakhsh, ...‏
Proceedings of Machine Learning and Systems 4, 141-152, 2022‏
52*2022
Learning performance-improving code edits‏
A Madaan, A Shypula, U Alon, M Hashemi, P Ranganathan, Y Yang, ...‏
arXiv preprint arXiv:2302.07867 8, 2023‏
502023
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مقالات 1–20