Continuous profiling: where have all the cycles gone?
Proceedings of the sixteenth ACM symposium on Operating systems principles
ProfileMe: hardware support for instruction-level profiling on out-of-order processors
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
A hardware-driven profiling scheme for identifying program hot spots to support runtime optimization
ISCA '99 Proceedings of the 26th annual international symposium on Computer architecture
Practicing JUDO: Java under dynamic optimizations
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Adaptive optimization in the Jalapeño JVM
OOPSLA '00 Proceedings of the 15th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Relational profiling: enabling thread-level parallelism in virtual machines
Proceedings of the 33rd annual ACM/IEEE international symposium on Microarchitecture
A framework for reducing the cost of instrumented code
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
Efficient representations and abstractions for quantifying and exploiting data reference locality
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
Rapid profiling via stratified sampling
ISCA '01 Proceedings of the 28th annual international symposium on Computer architecture
Dynamic hot data stream prefetching for general-purpose programs
PLDI '02 Proceedings of the ACM SIGPLAN 2002 Conference on Programming language design and implementation
Efficient instrumentation for code coverage testing
ISSTA '02 Proceedings of the 2002 ACM SIGSOFT international symposium on Software testing and analysis
A DISE implementation of dynamic code decompression
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
Bug isolation via remote program sampling
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
DISE: a programmable macro engine for customizing applications
Proceedings of the 30th annual international symposium on Computer architecture
A Programmable Co-processor for Profiling
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Frequent loop detection using efficient non-intrusive on-chip hardware
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
Low-overhead memory leak detection using adaptive statistical profiling
ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems
Low-Overhead Interactive Debugging via Dynamic Instrumentation with DISE
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
Proceedings of the international symposium on Code generation and optimization
Memory Profiling using Hardware Counters
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Efficient remote profiling for resource-constrained devices
ACM Transactions on Architecture and Code Optimization (TACO)
DeFT: Design space exploration for on-the-fly detection of coherence misses
ACM Transactions on Architecture and Code Optimization (TACO)
A survey and taxonomy of on-chip monitoring of multicore systems-on-chip
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Simple profile rectifications go a long way
ECOOP'13 Proceedings of the 27th European conference on Object-Oriented Programming
Reconfigurable vertical profiling framework for the android runtime system
ACM Transactions on Embedded Computing Systems (TECS) - Special Section ESFH'12, ESTIMedia'11 and Regular Papers
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Key to understanding and optimizing complex applications, is our ability to dynamically monitor executing programs with low overhead and high accuracy. Toward this end, we present HPS, a Hybrid Profiling Support system. HPS employs a hardware/software approach to program sampling that transparently, efficiently,and dynamically samples an executing instruction stream.Our system is an extension and application of Dynamic Instruction Stream Editing (DISE), a hardware technique that macro-expands instructions in the pipeline decode stage at runtime. HPS toggles profiling to sample the executing program as required by the profile consumer, e.g. a dynamic optimizer. Our system requires few hardware resources and introduces no "basic" overhead 驴 the execution of instructions that triggers profiling. We use HPS to investigate the tradeoffs between overhead and accuracy of different profile types as well as different profiling schemes. In particular,we empirically evaluate hot data stream, hot call pair, and hot method identification using a number of parameterizations of bursty tracing, a popular sampling scheme used in dynamic optimization systems.