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- research-articleJune 2018
Bootstrapping Parameter Space Exploration for Fast Tuning
- Jayaraman J. Thiagarajan,
- Nikhil Jain,
- Rushil Anirudh,
- Alfredo Gimenez,
- Rahul Sridhar,
- Aniruddha Marathe,
- Tao Wang,
- Murali Emani,
- Abhinav Bhatele,
- Todd Gamblin
ICS '18: Proceedings of the 2018 International Conference on SupercomputingJune 2018, Pages 385–395https://doi.org/10.1145/3205289.3205321The task of tuning parameters for optimizing performance or other metrics of interest such as energy, variability, etc. can be resource and time consuming. Presence of a large parameter space makes a comprehensive exploration infeasible. In this paper, ...
- research-articleJune 2018
Towards Efficient SpMV on Sunway Manycore Architectures
ICS '18: Proceedings of the 2018 International Conference on SupercomputingJune 2018, Pages 363–373https://doi.org/10.1145/3205289.3205313Sparse Matrix-Vector Multiplication (SpMV) is an essential computation kernel for many data-analytic workloads running in both supercomputers and data centers. The intrinsic irregularity in SpMV is challenging to achieve high performance, especially ...
- research-articleJune 2018
Warp-Consolidation: A Novel Execution Model for GPUs
ICS '18: Proceedings of the 2018 International Conference on SupercomputingJune 2018, Pages 53–64https://doi.org/10.1145/3205289.3205294With the unprecedented development of compute capability and extension of memory bandwidth on modern GPUs, parallel communication and synchronization soon becomes a major concern for continuous performance scaling. This is especially the case for ...
- research-articleJune 2018
The Broker Queue: A Fast, Linearizable FIFO Queue for Fine-Granular Work Distribution on the GPU
ICS '18: Proceedings of the 2018 International Conference on SupercomputingJune 2018, Pages 76–85https://doi.org/10.1145/3205289.3205291Harnessing the power of massively parallel devices like the graphics processing unit (GPU) is difficult for algorithms that show dynamic or inhomogeneous workloads. To achieve high performance, such advanced algorithms require scalable, concurrent ...