Sciweavers

59 search results - page 1 / 12
» Data parallel FPGA workloads: Software versus hardware
Sort
View
FPL
2009
Springer
117views Hardware» more  FPL 2009»
13 years 9 months ago
Data parallel FPGA workloads: Software versus hardware
Commercial soft processors are unable to effectively exploit the data parallelism present in many embedded systems workloads, requiring FPGA designers to exploit it (laboriously) ...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
ISPASS
2009
IEEE
13 years 11 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
MSE
2002
IEEE
135views Hardware» more  MSE 2002»
13 years 9 months ago
The Impact of SMT/SMP Designs on Multimedia Software Engineering - A Workload Analysis Study
This paper presents the study of running several core multimedia applications on a simultaneous multithreading (SMT) architecture and derives design principles for multimedia soft...
Yen-Kuang Chen, Rainer Lienhart, Eric Debes, Matth...
CCECE
2006
IEEE
13 years 11 months ago
Hardware Edge Detection using an Altera Stratix NIOS2 Development Kit
— Edge detection is a computer vision algorithm that is very processor intensive. It is possible to increase the speed of the algorithm by using hardware parallelism. This paper ...
Jay Kraut
FDL
2008
IEEE
13 years 11 months ago
Towards Compilation of Streaming Programs into FPGA Hardware
There is an increasing need for automated conversion of high-level design descriptions into hardware. We present a flow that converts a software application written in the Brook ...
Franjo Plavec, Zvonko G. Vranesic, Stephen Dean Br...