Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs

Kernel concurrency opportunities based on GPU benchmarks characterization

(2019) Pablo Carvalho et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

IRESpy: an XGBoost model for prediction of internal ribosome entry sites

(2019) Junhui Wang et al.   BMC BIOINFORMATICS

cCUDA: Effective Co-Scheduling of Concurrent Kernels on GPUs

(2019) S.-Kazem Shekofteh et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Efficient GPU Spatial-Temporal Multitasking

(2015) Yun Liang et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A Performance Model for GPUs with Caches

(2015) Thanh Tuan Dao et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Kernelet: High-Throughput GPU Kernel Executions with Dynamic Slicing and Scheduling

(2013) Jianlong Zhong et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS