Accelerating Compute-Intensive Applications with GPUs and FPGAs

By Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John C. Lach. IEEE Symposium on Application Specific Processors, 2008

367 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/63c5bade34dd225217a0a23604400c0bc32a4735

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Shuai Che
2. Jeremy W. Sheaffer
3. Michael Boyer
4. Liang Wang
5. Kevin Skadron
6. David Tarjan
7. Tor M. Aamodt

In Hardware and Architecture

1. Kevin Skadron
2. David Tarjan
3. Shuai Che
4. Jeremy W. Sheaffer
5. Michael Boyer
6. Tor M. Aamodt

Citations in the corpus

• A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads (2010, background): “How difficult is an application to implement [8]–[10]?”
• State-of-the-art in heterogeneous computing (2010, background): “Miscellaneous Use of different programming languages (FPGA) [22]; Qualitative comparison (FPGA, CPU, GPU) [40]; Bioinfor-”
• Rodinia: A benchmark suite for heterogeneous computing (2009, methodology): “• We plan to extend the Rodinia benchmarks to support more platforms, such as FPGAs, STI Cell, etc. Che et al. [5] already have FPGA implementations for several applications.”