Reconfigurable devices, such as Field Programmable Gate Arrays (FPGAs), are very popular in today's embedded systems design due to their low-cost, high-performance and flexibility. Partially Runtime-Reconfigurable (PRTR) FPGAs allow hardware tasks to be placed and removed dynamically at runtime. Hardware task scheduling on PRTR FPGAs brings many challenging issues to traditional real-time scheduling theory, which have not been adequately addressed by the research community compared to software task scheduling on CPUs. In this paper, we consider the schedulability analysis problem of HW task scheduling on PRPR FPGAs. We derive utilization bound tests for two variants of global EDF scheduling, and use synthetic tasksets to compare performance...
Modern embedded systems are being modeled as Heterogeneous Reconfigurable Computing Systems (HRCS) w...
Real-time scheduling for FPGAs presents unique challenges to traditional real-time scheduling theory...
ARM-FPGA coupled platforms allow accelerating the computation of specific algorithms by executing th...
Field Programmable Gate Arrays (FPGAs) are very popular in today's embedded systems design, and Part...
FPGAs are widely used in today's embedded systems design due to their low cost, high performance, an...
Multiprocessor hardware platforms are now being considered for embedded systems, due to their high c...
Reconfigurable devices such as Field Programmable Gate Arrays (FPGAs) are very popular in today's em...
Abstract. Partial reconfiguration (PR) of FPGAs can be used to dynamically extend and adapt the func...
Summarization: Partial reconfiguration (PR) of FPGAs can be used to dynamically extend and adapt the...
Todays reconfigurable hardware devices, such as FPGAs, have high densities and allow for the execut...
Abstract — Todays reconfigurable hardware devices, such as FPGAs, have high densities and allow for ...
Abstract—Reconfigurable Computers (RC) can provide signif-icant performance improvement for domain a...
Abstract—Real-time scheduling is the theoretical basis of real-time systems engineering. Earliest De...
The increasing attention on global scheduling algorithms for identical multiprocessor platforms prod...
In this paper we present a novel scheduling technique for partially-reconfigurable FPGA-based system...
Modern embedded systems are being modeled as Heterogeneous Reconfigurable Computing Systems (HRCS) w...
Real-time scheduling for FPGAs presents unique challenges to traditional real-time scheduling theory...
ARM-FPGA coupled platforms allow accelerating the computation of specific algorithms by executing th...
Field Programmable Gate Arrays (FPGAs) are very popular in today's embedded systems design, and Part...
FPGAs are widely used in today's embedded systems design due to their low cost, high performance, an...
Multiprocessor hardware platforms are now being considered for embedded systems, due to their high c...
Reconfigurable devices such as Field Programmable Gate Arrays (FPGAs) are very popular in today's em...
Abstract. Partial reconfiguration (PR) of FPGAs can be used to dynamically extend and adapt the func...
Summarization: Partial reconfiguration (PR) of FPGAs can be used to dynamically extend and adapt the...
Todays reconfigurable hardware devices, such as FPGAs, have high densities and allow for the execut...
Abstract — Todays reconfigurable hardware devices, such as FPGAs, have high densities and allow for ...
Abstract—Reconfigurable Computers (RC) can provide signif-icant performance improvement for domain a...
Abstract—Real-time scheduling is the theoretical basis of real-time systems engineering. Earliest De...
The increasing attention on global scheduling algorithms for identical multiprocessor platforms prod...
In this paper we present a novel scheduling technique for partially-reconfigurable FPGA-based system...
Modern embedded systems are being modeled as Heterogeneous Reconfigurable Computing Systems (HRCS) w...
Real-time scheduling for FPGAs presents unique challenges to traditional real-time scheduling theory...
ARM-FPGA coupled platforms allow accelerating the computation of specific algorithms by executing th...