Flasskamp M, Sievers G, Ax J, et al. Performance Estimation of Streaming Applications for Hierarchical MPSoCs. In: Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO). New York, NY: ACM Press; 2016: 1
Heterogeneous MultiProcessor System on Chips (MPSoCs) are viable implementationplatforms for multime...
We study the timing behaviour of streaming applications running on a multiprocessor architecture. De...
Evaluation of performance for complex applications such as Artificial Intelligence (AI) algorithms a...
The pipelined Multiprocessor System on Chip (MPSoC) paradigm is well suited to the data flow nature ...
Ax J, Flasskamp M, Sievers G, Klarhorst C, Jungeblut T, Kelly W. An Abstract Model for Performance E...
Virtual platforms are of paramount importance for design space exploration and their usage in early ...
The increasing complexities of today’s embedded multimedia and wireless devices have ushered in the ...
AbstractStreaming computing models allow for on-the-fly processing of large data sets. With the in-c...
Embedded streaming applications specified using parallel Models of Computation (MoC) often contain a...
This book describes analytical models and estimation methods to enhance performance estimation of pi...
Kelly W, Flasskamp M, Sievers G, et al. A Communication Model and Partitioning Algorithm for Streami...
As many-core accelerators keep integrating more processing units, it becomes increasingly more diffi...
This thesis addresses the problem of designing performance and energy efficient embedded streaming s...
Design Space Exploration (DSE) of an application running on a Multi-Processor System-on-Chip (MPSoC)...
Maximizing the data throughput is a very common implementation objective for several streaming appli...
Heterogeneous MultiProcessor System on Chips (MPSoCs) are viable implementationplatforms for multime...
We study the timing behaviour of streaming applications running on a multiprocessor architecture. De...
Evaluation of performance for complex applications such as Artificial Intelligence (AI) algorithms a...
The pipelined Multiprocessor System on Chip (MPSoC) paradigm is well suited to the data flow nature ...
Ax J, Flasskamp M, Sievers G, Klarhorst C, Jungeblut T, Kelly W. An Abstract Model for Performance E...
Virtual platforms are of paramount importance for design space exploration and their usage in early ...
The increasing complexities of today’s embedded multimedia and wireless devices have ushered in the ...
AbstractStreaming computing models allow for on-the-fly processing of large data sets. With the in-c...
Embedded streaming applications specified using parallel Models of Computation (MoC) often contain a...
This book describes analytical models and estimation methods to enhance performance estimation of pi...
Kelly W, Flasskamp M, Sievers G, et al. A Communication Model and Partitioning Algorithm for Streami...
As many-core accelerators keep integrating more processing units, it becomes increasingly more diffi...
This thesis addresses the problem of designing performance and energy efficient embedded streaming s...
Design Space Exploration (DSE) of an application running on a Multi-Processor System-on-Chip (MPSoC)...
Maximizing the data throughput is a very common implementation objective for several streaming appli...
Heterogeneous MultiProcessor System on Chips (MPSoCs) are viable implementationplatforms for multime...
We study the timing behaviour of streaming applications running on a multiprocessor architecture. De...
Evaluation of performance for complex applications such as Artificial Intelligence (AI) algorithms a...