Fragmentation on dynamically reconfigurable FPGAs is currently a major obstacle to the efficient management of its logic space. When resource allocation decisions have to be made at run-time a relocation of currently running functions may be necessary to release enough contiguous resources to implement incoming functions. Relocation should take into account any specifics of function’s functionality and also those of the FPGA’s architecture as to not affect system’s performance. A simple and fast method to assess performance degradation of a function during relocation is proposed in this paper. This method is based on previous function labelling and on the concept of proximity vectors. 1
Köster M, Kalte H, Porrmann M, Rückert U. Defragmentation Algorithms for Partially Reconfigurable Ha...
The research described in this paper shows how the runtime relocation of a reconfigurable component ...
[[abstract]]In this paper, we address the technology mapping for RAM-based FPGA. Functional decompos...
Fragmentation on dynamically reconfigurable FPGAs is currently a major obstacle to the efficient man...
Current FPGAs are heterogeneous partially reconfigurable architectures, consisting of several resour...
Reconfigurable computing experienced a considerable expansion in the last few years, due in part to...
Reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), are very popular in today’s ...
Summarization: The most popular representative devices of reconfigurable computing are field-program...
Dynamically reconfigurable systems based on partial and dynamically reconfigurable FPGAs may have th...
Dynamically reconfigurable systems based on partial and dynamically reconfigurable FPGAs may have t...
Controllers for partially reconfigurable FPGAs that are capable of supporting multiple independent t...
The dynamic reconfiguration of an FPGA has many advantages, but the overhead from the process reduce...
International audienceXilinx Virtex FPGAs offer the possibility of Partial Reconfiguration (PR). Arb...
The research described in this paper shows how the runtime relocation of a reconfigurable component ...
This work explores the effect of adding a simple functional decomposition step to the traditional fi...
Köster M, Kalte H, Porrmann M, Rückert U. Defragmentation Algorithms for Partially Reconfigurable Ha...
The research described in this paper shows how the runtime relocation of a reconfigurable component ...
[[abstract]]In this paper, we address the technology mapping for RAM-based FPGA. Functional decompos...
Fragmentation on dynamically reconfigurable FPGAs is currently a major obstacle to the efficient man...
Current FPGAs are heterogeneous partially reconfigurable architectures, consisting of several resour...
Reconfigurable computing experienced a considerable expansion in the last few years, due in part to...
Reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), are very popular in today’s ...
Summarization: The most popular representative devices of reconfigurable computing are field-program...
Dynamically reconfigurable systems based on partial and dynamically reconfigurable FPGAs may have th...
Dynamically reconfigurable systems based on partial and dynamically reconfigurable FPGAs may have t...
Controllers for partially reconfigurable FPGAs that are capable of supporting multiple independent t...
The dynamic reconfiguration of an FPGA has many advantages, but the overhead from the process reduce...
International audienceXilinx Virtex FPGAs offer the possibility of Partial Reconfiguration (PR). Arb...
The research described in this paper shows how the runtime relocation of a reconfigurable component ...
This work explores the effect of adding a simple functional decomposition step to the traditional fi...
Köster M, Kalte H, Porrmann M, Rückert U. Defragmentation Algorithms for Partially Reconfigurable Ha...
The research described in this paper shows how the runtime relocation of a reconfigurable component ...
[[abstract]]In this paper, we address the technology mapping for RAM-based FPGA. Functional decompos...