Viktor K. Prasanna
Charles Lee Powell Chair in Electrical and Computer Engineering and Professor of Electrical and Computer Engineering and Computer Science
Develops FPGA and parallel computing accelerators for graph analytics and graph neural networks.
Viktor K. Prasanna's lab at USC works on accelerators, chips & architecture, distributed, cloud & edge systems and graph learning. 97 papers since 2023, 6 at top venues, mostly CIKM and ACL. 15 PhD students. 81 alumni. Applications close .
At a glance
- papers, 2023–2026
- 25/ year
- at T1 venues
- 6%
- PhD students
- 15
- MS students
- 0
- alumni listed
- 81
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 0 · collecting
- 32 papers2025 · T1 4
- 29 papers2024 · T1 0
- 28 papers2023 · T1 2
T1 venuesOtherVenues: CIKM, ACL, EACL, ICIP, INFOCOM
Research focuspaper titles that use each topic's words
- Graph learning50 papers
- Accelerators, chips & architecture27 papers
- graph23 papers
- Distributed, cloud & edge systems9 papers
- graph analytics1 paper
Paper list
From the lab homepage.
20268 papers
- JPDCAccelerating MTTKRP for Sparse Tensor Decomposition on GPUs (opens in a new tab)
- SPIE Defense + Commercial SensingDINOSAR: Generalizing SAR Automatic Target Recognition at Scale (opens in a new tab)
- ACM International Conference on Computing FrontiersEfficient and Accurate Graph Classification with Hyperdimensional Computing on FPGA (opens in a new tab)
- FCCMFASTR: FPGA-based Acceleration of Hierarchical Foundation Models for SAR ATR (opens in a new tab)
- FCCMGraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA (opens in a new tab)
- ISFPGAHERA: A Bandwidth-efficient Accelerator for Fully Homomorphic Encryption on HBM-enabled FPGA (opens in a new tab)
- FCCMImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing (opens in a new tab)
- EACLRECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion (opens in a new tab)
202532 papers
- HPECAccelerating Dynamic Image Graph Construction on FPGA for Vision GNNs (opens in a new tab)
- IEEE/SBC International Symposium on Computer Architecture and High Performance ComputingAccelerating GNN Inference via Automated Parallel Execution on Edge Heterogeneous Platforms (opens in a new tab)
- Euro-ParAccelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms (opens in a new tab)
- Latin America High Performance Computing Conference (CARLA)ACCLAIM: Accelerating Long Context LLM Inference on Heterogeneous Edge Platforms (opens in a new tab)
- Adversarial Knapsack for Sequential Competitive Resource AllocationAdversarial Knapsack for Sequential Competitive Resource Allocation (opens in a new tab)
- IEEE Transactions on Artificial IntelligenceAdversarial Training in Low-Label Regimes With Margin-Based Interpolation (opens in a new tab)
- International Conference on Parallel ProcessingAMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs (opens in a new tab)
- IEEE Transactions on Parallel and Distributed SystemsAn Acceleration Framework for Deep Reinforcement Learning Using Heterogeneous Systems (opens in a new tab)
- Wireless Communications and Networking ConferenceAP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach (opens in a new tab)
- ICPADSARC: A Runtime Engine for Accelerating Independent Multi-Agent Reinforcement Learning on Multi-Core Processors (opens in a new tab)
- MCNAClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning (opens in a new tab)
- UAI (T1)Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information (opens in a new tab)
202429 papers
- ASAPA Framework for Generating Accelerators for Homomorphic Encryption Operations on FPGAs (opens in a new tab)
- FPLA Heterogeneous Acceleration System for Attention-Based Multi-Agent Reinforcement Learning (opens in a new tab)
- ICIPA Single Graph Convolution is all you need: Efficient Grayscale Image Classification (opens in a new tab)
- ACM International Conference on Computing FrontiersA Unified CPU-GPU Protocol for GNN Training (opens in a new tab)
- SN Computer ScienceAccelerating Graph Analytics Using Attention‑Based Data Prefetcher (opens in a new tab)
- Annual IEEE High Performance Extreme Computing Virtual ConferenceAccelerating Multi-Agent DDPG Training on Multi-GPU Platforms (opens in a new tab)
- Asilomar Conference on Signals, Systems, and ComputersAccelerating Sparse MTTKRP for Small Tensor Decomposition on GPU (opens in a new tab)
- The IEEE International Symposium On Field-Programmable Custom Computing MachinesAccelerating ViT Inference on FPGA through Static and Dynamic Pruning (opens in a new tab)
- IPDPSARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor (opens in a new tab)
- IPDPSAttention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching (opens in a new tab)
- FCCMBandwidth Efficient Homomorphic Encrypted Discrete Fourier Transform Acceleration on FPGA (opens in a new tab)
- Annual IEEE High Performance Extreme Computing Virtual ConferenceBenchmarking Edge AI Platforms for High-Performance ML Inference (opens in a new tab)
202328 papers
- TPDSA Framework for Mapping DRL Algorithms with Prioritized Replay Buffer onto Heterogeneous Platforms (opens in a new tab)
- FPGAA Framework for Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform via on-chip Dynamic Tree Management (opens in a new tab)
- IA3Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism (opens in a new tab)
- HPECAccelerating GNN-based SAR Automatic Target Recognition on HBM-enabled FPGA (opens in a new tab)
- HPECAccelerating Multi-Agent DDPG on CPU-FPGA Heterogeneous Platform (opens in a new tab)
- FPGAAccelerating Sparse MTTKRP for Tensor Decomposition on FPGA (opens in a new tab)
- SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VAdversarial attack on GNN-based SAR image classifier (opens in a new tab)
- SC23 Workshop on Machine Learning with Graphs in High Performance Computing EnvironmentsAn Efficient Distributed Graph Engine for Deep Learning on Graphs (opens in a new tab)
- HPECBenchmarking Deep Learning Classifiers for SAR Automatic Target Recognition (opens in a new tab)
- DATACharacterizing Speed Performance of Multi-agent Reinforcement Learning (opens in a new tab)
- The International Conference for High Performance Computing, Networking, Storage, and AnalysisDistTGL: Distributed Memory-Based Temporal Graph Neural Network Training (opens in a new tab)
- SBAC-PADDynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU (opens in a new tab)
Where alumni went81 listed, 50% to industry
Industry 1Academia 1
Also to
- Los Alamos National Lab
Apply to USCFall 2027
Computer Science PhD (Viterbi)
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- Single round (Dec 15)
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