The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Rodinia: A benchmark suite for heterogeneous computing
Abstract
This paper presents and characterizes Rodinia, a benchmark suite for heterogeneous computing. To help architects study emerging platforms such as GPUs (Graphics Processing Units), Rodinia includes applications and kernels which target multi-core CPU and GPU platforms. The choice of applications is inspired by Berkeley's dwarf taxonomy. Our characterization shows that the Rodinia benchmarks cover a wide range of parallel communication patterns, synchronization techniques and power consumption, and has led to some important architectural insight, such as the growing importance of memory-bandwidth limitations and the consequent importance of data layout.
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Cites
The PARSEC benchmark suite: characterization and architectural implications
Bienia, C., Kumar, S., Singh, J. P., & Li, K. (2008) · Proceedings of the 17th international conference on Parallel architectures and compilation techniques · doi:10.1145/1454115.1454128 · Cited by 3,444
Cited by
A Survey of CPU-GPU Heterogeneous Computing Techniques
Mittal, S., & Vetter, J. S. (2015) · ACM Computing Surveys · doi:10.1145/2788396 · Cited by 568
Ganju, K., Wang, Q., Yang, W., Gunter, C. A., & Borisov, N. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3243734.3243834 · Cited by 475
Accelerating CUDA graph algorithms at maximum warp
Hong, S., Kim, S. K., Oguntebi, T., & Olukotun, K. (2011) · Proceedings of the 16th ACM symposium on Principles and practice of parallel programming · doi:10.1145/1941553.1941590 · Cited by 339
SASSIFI: An architecture-level fault injection tool for GPU application resilience evaluation
Hari, S. K. S., Tsai, T., Stephenson, M., Keckler, S. W., & Emer, J. (2017) · 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · doi:10.1109/ispass.2017.7975296 · Cited by 181
GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications
Fang, B., Pattabiraman, K., Ripeanu, M., & Gurumurthi, S. (2014) · 2014 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · doi:10.1109/ispass.2014.6844486 · Cited by 142
Metadata
- Authors
- Che, S., Boyer, M., Meng, J., Tarjan, D., Sheaffer, J. W., Lee, S.-H., & Skadron, K.
- Venue
- 2009 IEEE International Symposium on Workload Characterization (IISWC)
- Publisher
- IEEE
- Published
- 2009-10
- Pages
- 44-54
- OpenAlex
- W2080592089
- Cited by
- 3,018
- References
- 1
- FWCI
- 34.01
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Che, S., Boyer, M., Meng, J., Tarjan, D., Sheaffer, J. W., Lee, S.-H., & Skadron, K. (2009). Rodinia: A benchmark suite for heterogeneous computing. 2009 IEEE International Symposium on Workload Characterization (IISWC). https://doi.org/10.1109/iiswc.2009.5306797
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