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ORCIDViktor K. Prasanna
V. K. Prasanna Kumar
Person information
- affiliation: University of Southern California, Los Angeles, USA
- award (2015): W. Wallace McDowell Award
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2020 – today
- 2023
[j180]Kartik Lakhotia
, Rajgopal Kannan, Viktor K. Prasanna:
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. ACM Trans. Parallel Comput. 10(2): 5:1-5:35 (2023)- [j179]Chi Zhang, Yuan Meng, Viktor K. Prasanna:
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 34(6): 1816-1829 (2023) - [j178]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference. IEEE Trans. Parallel Distributed Syst. 34(9): 2580-2597 (2023) - [j177]Chung Ming Cheung, Sanmukh Rao Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models. IEEE Trans. Sustain. Comput. 8(1): 43-55 (2023) - [c569]Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Training Heterogeneous Graph Neural Networks using Bandit Sampling. CIKM 2023: 4345-4349 - [c568]Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. DATA 2023: 327-334 - [c567]Yi-Chien Lin, Viktor K. Prasanna:
A Framework for Graph Machine Learning on Heterogeneous Architecture. FCCM 2023: 245-246 - [c566]Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
A Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management. FPGA 2023: 235-245 - [c565]Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA. FPGA 2023: 259-269 - [c564]Yang Yang, Weihang Long, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Acceleration of Rotation in Homomorphic Encryption Using Dynamic Data Layout. FPL 2023: 174-181 - [c563]Paul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna:
Exploiting On-Chip Heterogeneity of Versal Architecture for GNN Inference Acceleration. FPL 2023: 219-227 - [c562]Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. INFOCOM 2023: 1-10 - [c561]Bingyi Zhang, Viktor K. Prasanna:
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation. IPDPS 2023: 233-244 - [c560]Yi-Chien Lin, Viktor K. Prasanna:
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. IPDPS 2023: 557-567 - [c559]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. SBAC-PAD 2023: 23-33 - [c558]Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna:
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC 2023: 39:1-39:12 - [c557]Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. SC 2023: 91:1-91:15 - [c556]Yuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna:
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism. SC Workshops 2023: 766-769 - [c555]Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna:
An Efficient Distributed Graph Engine for Deep Learning on Graphs. SC Workshops 2023: 922-931 - [i61]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. CoRR abs/2301.01454 (2023) - [i60]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference. CoRR abs/2302.01769 (2023) - [i59]Yi-Chien Lin, Viktor K. Prasanna:
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. CoRR abs/2303.00158 (2023) - [i58]Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform. CoRR abs/2303.01568 (2023) - [i57]Bingyi Zhang, Viktor K. Prasanna:
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation. CoRR abs/2303.12901 (2023) - [i56]Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN. CoRR abs/2304.10013 (2023) - [i55]Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Graph Neural Network for Accurate and Low-complexity SAR ATR. CoRR abs/2305.07119 (2023) - [i54]Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna:
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. CoRR abs/2307.07649 (2023) - [i53]Paul Chen, Pavan Manjunath, Sasindu Wijeratne, Bingyi Zhang, Viktor K. Prasanna:
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration. CoRR abs/2308.02749 (2023) - [i52]Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Characterizing Speed Performance of Multi-Agent Reinforcement Learning. CoRR abs/2309.07108 (2023) - [i51]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. CoRR abs/2309.09131 (2023) - [i50]Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Performance of Graph Neural Networks for Point Cloud Applications. CoRR abs/2309.09142 (2023) - [i49]Yuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna:
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism. CoRR abs/2310.05313 (2023) - [i48]Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna:
Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration. CoRR abs/2310.10902 (2023) - [i47]Yuan Meng, Michael Kinsner, Deshanand P. Singh, Mahesh A Iyer, Viktor K. Prasanna:
A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms. CoRR abs/2311.09445 (2023) - 2022
- [j176]Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna:
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction. Int. J. Data Sci. Anal. 13(1): 3-16 (2022) - [j175]Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Allreduce With In-Network Reduction on Intel PIUMA. IEEE Micro 42(2): 44-52 (2022) - [j174]Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization. IEEE Trans. Parallel Distributed Syst. 33(9): 2066-2078 (2022) - [j173]Ken Eguro, Stephen Neuendorffer, Viktor K. Prasanna, Hongbo Rong:
Introduction to Special Issue on FPGAs in Data Centers. ACM Trans. Reconfigurable Technol. Syst. 15(2): 11:1-11:2 (2022) - [j172]Ken Eguro, Stephen Neuendorffer, Viktor K. Prasanna, Hongbo Rong:
Introduction to Special Issue on FPGAs in Data Centers, Part II. ACM Trans. Reconfigurable Technol. Syst. 15(3): 22:1-22:2 (2022) - [j171]Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
Safe Building HVAC Control via Batch Reinforcement Learning. IEEE Trans. Sustain. Comput. 7(4): 923-934 (2022) - [c554]Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari:
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. ACML 2022: 467-482 - [c553]Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari:
Intelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative Games. AAMAS 2022: 1627-1629 - [c552]Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform. CARLA 2022: 16-30 - [c551]Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
NTTGen: a framework for generating low latency NTT implementations on FPGA. CF 2022: 30-39 - [c550]Yuan Meng, Chi Zhang, Viktor K. Prasanna:
FPGA acceleration of deep reinforcement learning using on-chip replay management. CF 2022: 40-48 - [c549]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
Fine-grained address segmentation for attention-based variable-degree prefetching. CF 2022: 103-112 - [c548]Ta-Yang Wang, Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna:
Throughput optimization in heterogeneous MIMO networks: a GNN-based approach. GNNet@CoNEXT 2022: 42-47 - [c547]Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna:
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA 2022: 135-145 - [c546]Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Towards Programmable Memory Controller for Tensor Decomposition. DATA 2022: 468-475 - [c545]Yuan Meng, Hongjiang Men, Viktor K. Prasanna:
Accelerating Deformable Convolution Networks. FCCM 2022: 1 - [c544]Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Accelerator for Homomorphic Encrypted Sparse Convolutional Neural Network Inference. FCCM 2022: 1-9 - [c543]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna:
End-to-End Acceleration of Homomorphic Encrypted CNN Inference on FPGAs. FPGA 2022: 51 - [c542]Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform. FPGA 2022: 123-133 - [c541]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
DecGNN: A Framework for Mapping Decoupled GNN Models onto CPU-FPGA Heterogeneous Platform. FPGA 2022: 154 - [c540]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA. FPL 2022: 1-8 - [c539]Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. FPL 2022: 176-182 - [c538]Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Bandwidth Efficient Homomorphic Encrypted Matrix Vector Multiplication Accelerator on FPGA. FPT 2022: 1-9 - [c537]Soundarya Jayaraman, Bingyi Zhang, Viktor K. Prasanna:
Hypersort: High-performance Parallel Sorting on HBM-enabled FPGA. FPT 2022: 1-11 - [c536]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. HIPC 2022: 11-21 - [c535]Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Prefix Scan with in-network computing on Intel PIUMA. HIPC 2022: 59-68 - [c534]Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna:
Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms. HIPC 2022: 282-291 - [c533]Sasindu Wijeratne, Akhilesh R. Jaiswal, Ajey P. Jacob, Bingyi Zhang, Viktor K. Prasanna:
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA. HPEC 2022: 1-7 - [c532]Tian Ye, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Acceleration of Fully Homomorphic Encryption over the Torus. HPEC 2022: 1-7 - [c531]Bingyi Zhang, Akhilesh R. Jaiswal, Clynn Mathew, Ravi Teja Lakkireddy, Ajey P. Jacob, Sasindu Wijeratne, Viktor K. Prasanna:
Modeling the Energy Efficiency of GEMM using Optical Random Access Memory. HPEC 2022: 1-7 - [c530]Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna:
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC 2022: 1-8 - [c529]Haomei Liu, Yuan Meng, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
End to End Framework for CNN Acceleration on FPGAs with Dynamic Algorithm Mapping. IC3 2022: 696-700 - [c528]Jürgen Becker, Lana Josipovic, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan:
29th Reconfigurable Architectures Workshop (RAW 2022). IPDPS Workshops 2022: 65-66 - [c527]Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. IPDPS 2022: 1108-1117 - [c526]Tian Ye, Sanmukh R. Kuppannagari, César A. F. De Rose, Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Estimating the Impact of Communication Schemes for Distributed Graph Processing. ISPDC 2022: 49-56 - [c525]Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna:
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC 2022: 81:1-81:14 - [c524]Yuan Meng, Hongjiang Men, Viktor K. Prasanna:
Accelerator Design and Exploration for Deformable Convolution Networks. SiPS 2022: 1-6 - [p3]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Computational Models for Cascades in Massive Graphs. Massive Graph Analytics 2022: 377-395 - [i46]Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen:
Decoupling the Depth and Scope of Graph Neural Networks. CoRR abs/2201.07858 (2022) - [i45]Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA. CoRR abs/2203.05095 (2022) - [i44]Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware. CoRR abs/2203.15534 (2022) - [i43]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR abs/2205.02269 (2022) - [i42]Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna:
TransforMAP: Transformer for Memory Access Prediction. CoRR abs/2205.14778 (2022) - [i41]Bingyi Zhang, Hanqing Zeng, Viktor K. Prasanna:
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform. CoRR abs/2206.08536 (2022) - [i40]Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan, Viktor K. Prasanna:
Towards Programmable Memory Controller for Tensor Decomposition. CoRR abs/2207.08298 (2022) - [i39]Sasindu Wijeratne, Akhilesh R. Jaiswal, Ajey P. Jacob, Bingyi Zhang, Viktor K. Prasanna:
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA. CoRR abs/2208.10593 (2022) - [i38]Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. CoRR abs/2208.11208 (2022) - [i37]Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari:
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2209.01288 (2022) - [i36]Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. CoRR abs/2212.05250 (2022) - 2021
- [j170]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, efficient and scalable training of Graph Neural Networks. J. Parallel Distributed Comput. 147: 166-183 (2021) - [j169]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. Proc. VLDB Endow. 14(9): 1597-1605 (2021) - [j168]Aggelos Lazaris, Viktor K. Prasanna:
An LSTM Framework for Software-Defined Measurement. IEEE Trans. Netw. Serv. Manag. 18(1): 855-869 (2021) - [c523]Chi Zhang, Sanmukh R. Kuppannagari, Viktor K. Prasanna:
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. ACML 2021: 204-219 - [c522]Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CIKM 2021: 3667-3671 - [c521]Sanmukh R. Kuppannagari, Yao Fu, Chung Ming Cheung, Viktor K. Prasanna:
Spatio-Temporal Missing Data Imputation for Smart Power Grids. e-Energy 2021: 458-465 - [c520]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna:
BoostGCN: A Framework for Optimizing GCN Inference on FPGA. FCCM 2021: 29-39 - [c519]Bingyi Zhang, Rajgopal Kannan, Viktor K. Prasanna:
A Framework for Optimizing GCN Inference on FPGA. FPGA 2021: 145 - [c518]Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. FPGA 2021: 183-193 - [c517]Tian Ye, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Performance Modeling and FPGA Acceleration of Homomorphic Encrypted Convolution. FPL 2021: 115-121 - [c516]Nathaniel Peura, Yuan Meng, Sanmukh R. Kuppannagari, Viktor K. Prasanna:
FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms. FPL 2021: 404 - [c515]Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations. HiPC 2021: 1-10 - [c514]Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. HiPC 2021: 63-70 - [c513]Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
How to Avoid Zero-Spacing in Fractionally-Strided Convolution? A Hardware-Algorithm Co-Design Methodology. HiPC 2021: 81-90 - [c512]Madhav Aggarwal, Bingyi Zhang, Viktor K. Prasanna:
Performance of Local Push Algorithms for Personalized PageRank on Multi-core Platforms. HiPC 2021: 370-375 - [c511]Kartik Lakhotia, Fabrizio Petrini, Rajgopal Kannan, Viktor K. Prasanna:
In-network reductions on multi-dimensional HyperX. HOTI 2021: 1-8 - [c510]Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna:
Programmable FPGA-based Memory Controller. HOTI 2021: 43-51 - [c509]Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
GCN Inference Acceleration using High-Level Synthesis. HPEC 2021: 1-6 - [c508]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. HPEC 2021: 1-7 - [c507]Bingyi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform. HPEC 2021: 1-7 - [c506]Chung Ming Cheung, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Leveraging Spatial Information in Smart Grids using STGCN for Short-Term Load Forecasting. IC3 2021: 159-167 - [c505]Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen:
Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS 2021: 19665-19679 - [c504]Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. PEHC@SC 2021: 1-9 - [c503]Tian Ye, Yang Yang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
FPGA Acceleration of Number Theoretic Transform. ISC 2021: 98-117 - [i35]Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna:
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance. CoRR abs/2102.02842 (2021) - [i34]Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning. CoRR abs/2105.04528 (2021) - [i33]Ruizhi Zhang, Sasindu Wijeratne, Yang Yang, Sanmukh R. Kuppannagari, Viktor K. Prasanna:
A High Throughput Parallel Hash Table on FPGA using XOR-based Memory. CoRR abs/2108.03390 (2021) - [i32]Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen, Rajgopal Kannan, Viktor K. Prasanna:
Programmable FPGA-based Memory Controller. CoRR abs/2108.09601 (2021) - [i31]Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. CoRR abs/2109.04550 (2021) - [i30]Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA. CoRR abs/2109.08874 (2021) - [i29]Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. CoRR abs/2110.00894 (2021) - [i28]Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna:
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations. CoRR abs/2110.01101 (2021) - [i27]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. CoRR abs/2110.12511 (2021) - [i26]Yi-Chien Lin, Bingyi Zhang, Viktor K. Prasanna:
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform. CoRR abs/2112.11684 (2021) - 2020
- [j167]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna, César A. F. De Rose:
RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. Proc. VLDB Endow. 14(3): 404-417 (2020) - [j166]