Name
Affiliation
Papers
JONGSOO PARK
Intel Corp, Parallel Comp Lab, Santa Clara, CA 95054 USA
22
Collaborators
Citations 
PageRank 
115
103
9.49
Referers 
Referees 
References 
324
702
299
Search Limit
100702
Title
Citations
PageRank
Year
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.00.342021
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale00.342021
Spatial-Winograd Pruning Enabling Sparse Winograd Convolution.10.362019
Deep Learning Recommendation Model for Personalization and Recommendation Systems.60.402019
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.40.392018
On Periodic Functions as Regularizers for Quantization of Neural Networks.00.342018
HPC formulations of optimization algorithms for tensor completion.00.342018
Dynamic Fine-Grained Sparse Memory Accesses00.342018
Sparse Tensor Factorization On Many-Core Processors With High-Bandwidth Memory80.492017
Enabling Sparse Winograd Convolution by Native Pruning.60.472017
Faster CNNs with Direct Sparse Convolutions and Guided Pruning140.622017
Gate scheduling for quantum algorithms.00.342017
Faster CNNs with Direct Sparse Convolutions and Guided Pruning.00.342017
Sparso: Context-driven Optimizations of Sparse Linear Algebra.70.422016
An exploration of optimization algorithms for high performance tensor completion.70.492016
Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size.20.372016
Automating wavefront parallelization for sparse matrix computations.80.482016
High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems60.472015
Parallel Efficient Sparse Matrix-Matrix Multiplication On Multicore Platforms180.622015
Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems30.402015
Versatile and scalable parallel histogram construction30.372014
A framework for low-communication 1-D FFT100.752013