Publications

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Found 9 results
Filters: Author is Song, Shuaiwen Leon  [Clear All Filters]
2017
A. Li, Zhao, W., and Song, S. Leon, “BVF: Enabling Significant On-chip Power Savings via Bit-value-favor for Throughput Processors”, in Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, New York, NY, USA, 2017.
A. Li, Liu, W., Kristensen, M. R. B., Vinter, B., Wang, H., Hou, K., Marquez, A., and Song, S. Leon, “Exploring and Analyzing the Real Impact of Modern On-package Memory on HPC Scientific Kernels”, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, New York, NY, USA, 2017.
A. Li, Song, S. Leon, Liu, W., Liu, X., Kumar, A., and Corporaal, H., “Locality-Aware CTA Clustering for Modern GPUs”, in Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, New York, NY, USA, 2017.
2016
J. Tan, Song, S. Leon, Yan, K., Fu, X., Marquez, A., and Kerbyson, D., “Combating the Reliability Challenge of GPU Register File at Low Supply Voltage”, in Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, New York, NY, USA, 2016.
A. B. Hayes, Li, L., Chavarría-Miranda, D., Song, S. Leon, and Zhang, E. Z., “Orion: A Framework for GPU Occupancy Tuning”, in Proceedings of the 17th International Middleware Conference, New York, NY, USA, 2016.
A. Li, Song, S. Leon, Wijtvliet, M., Kumar, A., and Corporaal, H., “SFU-Driven Transparent Approximation Acceleration on GPUs”, in Proceedings of the 2016 International Conference on Supercomputing, New York, NY, USA, 2016.
P. Roy, Liu, X., and Song, S. Leon, “SMT-Aware Instantaneous Footprint Optimization”, in Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, New York, NY, USA, 2016.
L. Li, Hayes, A. B., Song, S. Leon, and Zhang, E. Z., “Tag-Split Cache for Efficient GPGPU Cache Utilization”, in Proceedings of the 2016 International Conference on Supercomputing, New York, NY, USA, 2016.
2015
L. Tan, Chen, Z., and Song, S. Leon, “Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology”, ACM Transactions on Architecture and Code Optimization, vol. 12, pp. 35:1–35:27, 2015.