A quantitative analysis of the speedup factors of FPGAs over processors
FPGA '04 Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
An FPGA implementation of the two-dimensional finite-difference time-domain (FDTD) algorithm
FPGA '04 Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
Overview of the FREEDOM Compiler for Mapping DSP Software to FPGAs
FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Smart Camera Based on Reconfigurable Hardware Enables Diverse Real-Time Applications
FCCM '04 Proceedings of the 12th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
An Architecture for Fast Processing of Large Unstructured Data Sets
ICCD '04 Proceedings of the IEEE International Conference on Computer Design
Understanding the efficiency of GPU algorithms for matrix-matrix multiplication
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Efficient Hardware Data Mining with the Apriori Algorithm on FPGAs
FCCM '05 Proceedings of the 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Metropolitan Road Traffic Simulation on FPGAs
FCCM '05 Proceedings of the 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
LU-GPU: Efficient Algorithms for Solving Dense Linear Systems on Graphics Hardware
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
ClawHMMER: A Streaming HMMer-Search Implementatio
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
An adaptive Reed-Solomon errors-and-erasures decoder
Proceedings of the 2006 ACM/SIGDA 14th international symposium on Field programmable gate arrays
GPUTeraSort: high performance graphics co-processor sorting for large database management
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Hardware/Software Approach to Molecular Dynamics on Reconfigurable Computers
FCCM '06 Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Single Pass, BLAST-Like, Approximate String Matching on FPGAs
FCCM '06 Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
A Federated Simulation Environment for Hybrid Systems
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Auto-pipe and the X language: a pipeline design tool and description language
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Visions for application development on hybrid computing systems
Parallel Computing
Sorting on architecturally diverse computer systems
Proceedings of the Third International Workshop on High-Performance Reconfigurable Computing Technology and Applications
Application-guided tool development for architecturally diverse computation
Proceedings of the 2010 ACM Symposium on Applied Computing
State-of-the-art in heterogeneous computing
Scientific Programming
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Hybrid systems consisting of a multitude of different computing device types are interesting targets for high-performance applications. Chip multiprocessors, FPGAs, DSPs, and GPUs can be readily put together into a hybrid system; however, it is not at all clear that one can effectively deploy applications on such a system. Coordinating multiple languages, especially very different languages like hardware and software languages, is awkward and error prone. Additionally, implementing communication mechanisms between different device types unnecessarily increases development time. This is compounded by the fact that the application developer, to be effective, needs performance data about the application early in the design cycle. We describe an application development environment specifically targeted at hybrid systems, supporting data-flow semantics between application kernels deployed on a variety of device types. A specific feature of the development environment is the availability of performance estimates (via simulation) prior to actual deployment on a physical system.