Ashutosh Pattnaik
Ashutosh Pattnaik
GPU Architect, Arm Inc.; Penn State
Verified email at - Homepage
Cited by
Cited by
Scheduling Techniques for GPU Architectures with Processing-in-Memory Capabilities
A Pattnaik, X Tang, A Jog, O Kayiran, AK Mishra, MT Kandemir, O Mutlu, ...
Proceedings of the 25th International Conference on Parallel Architecture …, 2016
Anatomy of GPU Memory System for Multi-application Execution
A Jog, O Kayiran, T Kesten, A Pattnaik, E Bolotin, N Chatterjee, ...
Proceedings of the 2015 International Symposium on Memory Systems, 223-234, 2015
Exploiting Core Criticality for Enhanced GPU Performance
A Jog, O Kayiran, A Pattnaik, MT Kandemir, O Mutlu, R Iyer, CR Das
Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016
Controlled Kernel Launch for Dynamic Parallelism in GPUs
X Tang, A Pattnaik, H Jiang, O Kayiran, A Jog, MI Sreepathi Pai, ...
Proceedings of the 23rd IEEE Symposium on High Performance Computer …, 2017
A New and Efficient Method for Removal of High Density Salt and Pepper Noise through Cascade Decision Based Filtering Algorithm
A Pattnaik, S Agarwal, S Chand
Procedia Technology 6, 108-117, 2012
μC-States: Fine-grained GPU Datapath Power Management
O Kayiran, A Jog, A Pattnaik, R Ausavarungnirun, X Tang, MT Kandemir, ...
Parallel Architecture and Compilation Techniques (PACT), 2016 International …, 2016
Opportunistic Computing in GPU Architectures
A Pattnaik, X Tang, O Kayiran, A Jog, A Mishra, MT Kandemir, ...
Proceedings of the 46th Annual International Symposium on Computer Architecture, 2019
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs
S Singh, A Sarma, N Jao, A Pattnaik, S Lu, K Yang, A Sengupta, ...
Measuring and Modeling On-chip Interconnect Power on Real Hardware
V Adhinarayanan, I Paul, JL Greathouse, W Huang, A Pattnaik, W Feng
Workload Characterization (IISWC), 2016 IEEE International Symposium on, 1-11, 2016
Distilling the essence of raw video to reduce memory usage and energy at edge devices
H Zhang, S Zhao, A Pattnaik, MT Kandemir, A Sivasubramaniam, CR Das
Proceedings of the 52nd Annual IEEE/ACM international symposium on …, 2019
Robotic Arm Control through Human Arm Movement using Accelerometers
A Pattnaik, R Ranjan
Quantifying Data Locality in Dynamic Parallelism in GPUs
X Tang, A Pattnaik, O Kayiran, A Jog, MT Kandemir, C Das
ACM SIGMETRICS Performance Evaluation Review 47 (1), 25-26, 2019
CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference
A Sarma, H Jiang, A Pattnaik, J Kotra, MT Kandemir, CR Das
Proceedings of the International Symposium on Memory Systems, 396-407, 2019
Quantifying data locality in dynamic parallelism in GPUs
X Tang, A Pattnaik, O Kayiran, A Jog, MT Kandemir, C Das
Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (3 …, 2018
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs
A Sarma, S Singh, H Jiang, A Pattnaik, AK Mishra, V Narayanan, ...
arXiv preprint arXiv:2109.07710, 2021
ScaleDNN: data movement aware DNN training on multi-GPU
W Xu, A Pattnaik, G Yuan, Y Wang, Y Zhang, X Tang
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Be(-A)ware of Data Movement: Optimizing Throughput Processors For Efficient Computations
A Pattnaik
The Pennsylvania State University, 2019
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