Abstract
Embedded systems are a mixture of software running on a microprocessor and application-specific hardware . Hardware/Software co-design requires an appropriate profiler to detect the functions that contribute to a large percentage of program execution . Software based profiling tools, such as the well-known GNU gprof profiler, integrates an extra code with the software program to be profiled causing a significant performance overhead. To address this issue, this paper proposes a software profiler called AddressTracer. This profiler is an adaptation of a non-intrusive, real time profiler called SnoopP. the AddressTraeer is accurately able to evaluate the performance matrices of any specific software function. A software benchmark, Secure Hash Algorithm (SHA), is profiled using AddressTracer and other software profiling tools, Airwolf, and GNU software profiling tool (gprof), for a quantitative comparison and their performance overhead are studied. the achieved results show that AddressTracer provides accurate profiling results with no performance overhead. Airwolf causes a very low remarkable performance overhead compared with that incurred by gprof.
| Original language | English |
|---|---|
| Title of host publication | National Radio Science Conference, NRSC, Proceedings |
| Publication status | Published - 2009 |
| Event | 2009 National Radio Science Conference, NRSC 2009 - New Cairo, Egypt Duration: Mar 17 2009 → Mar 19 2009 |
Other
| Other | 2009 National Radio Science Conference, NRSC 2009 |
|---|---|
| Country | Egypt |
| City | New Cairo |
| Period | 3/17/09 → 3/19/09 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Electronic, Optical and Magnetic Materials
Cite this
FPGA-based software profiler for hardware/software co-design. / Saad, E. Sayed M; Awadalla, Medhat H A; E-Deen, Kareem Ezz.
National Radio Science Conference, NRSC, Proceedings. 2009. 5233941.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - FPGA-based software profiler for hardware/software co-design
AU - Saad, E. Sayed M
AU - Awadalla, Medhat H A
AU - E-Deen, Kareem Ezz
PY - 2009
Y1 - 2009
N2 - Embedded systems are a mixture of software running on a microprocessor and application-specific hardware . Hardware/Software co-design requires an appropriate profiler to detect the functions that contribute to a large percentage of program execution . Software based profiling tools, such as the well-known GNU gprof profiler, integrates an extra code with the software program to be profiled causing a significant performance overhead. To address this issue, this paper proposes a software profiler called AddressTracer. This profiler is an adaptation of a non-intrusive, real time profiler called SnoopP. the AddressTraeer is accurately able to evaluate the performance matrices of any specific software function. A software benchmark, Secure Hash Algorithm (SHA), is profiled using AddressTracer and other software profiling tools, Airwolf, and GNU software profiling tool (gprof), for a quantitative comparison and their performance overhead are studied. the achieved results show that AddressTracer provides accurate profiling results with no performance overhead. Airwolf causes a very low remarkable performance overhead compared with that incurred by gprof.
AB - Embedded systems are a mixture of software running on a microprocessor and application-specific hardware . Hardware/Software co-design requires an appropriate profiler to detect the functions that contribute to a large percentage of program execution . Software based profiling tools, such as the well-known GNU gprof profiler, integrates an extra code with the software program to be profiled causing a significant performance overhead. To address this issue, this paper proposes a software profiler called AddressTracer. This profiler is an adaptation of a non-intrusive, real time profiler called SnoopP. the AddressTraeer is accurately able to evaluate the performance matrices of any specific software function. A software benchmark, Secure Hash Algorithm (SHA), is profiled using AddressTracer and other software profiling tools, Airwolf, and GNU software profiling tool (gprof), for a quantitative comparison and their performance overhead are studied. the achieved results show that AddressTracer provides accurate profiling results with no performance overhead. Airwolf causes a very low remarkable performance overhead compared with that incurred by gprof.
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M3 - Conference contribution
AN - SCOPUS:70449514099
SN - 9781424442140
BT - National Radio Science Conference, NRSC, Proceedings
ER -