ATUM: a new technique for capturing address traces using microcode
ISCA '86 Proceedings of the 13th annual international symposium on Computer architecture
Mache: no-loss trace compaction
SIGMETRICS '89 Proceedings of the 1989 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
ATOM: a system for building customized program analysis tools
PLDI '94 Proceedings of the ACM SIGPLAN 1994 conference on Programming language design and implementation
Rewriting executable files to measure program behavior
Software—Practice & Experience
Shade: a fast instruction-set simulator for execution profiling
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Trace-driven memory simulation: a survey
ACM Computing Surveys (CSUR)
Trace reduction for virtual memory simulations
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Compressed caching and modern virtual memory simulation
Compressed caching and modern virtual memory simulation
Instrumentation and optimization of Win32/intel executables using Etch
NT'97 Proceedings of the USENIX Windows NT Workshop on The USENIX Windows NT Workshop 1997
Complete or fast reference trace collection for simulating multiprogrammed workloads: choose one
Proceedings of the joint international conference on Measurement and modeling of computer systems
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The simulated evaluation of memory management policies relies on reference traces--logs of memory operations performed by running processes. No existing approach to reference trace collection is applicable to a complete system, including the kernel and all processes. Specifically, none gather sufficient information for simulating the virtual memory management, the filesystem cache management, and the scheduling of a multiprogrammed, multithreaded workload. Existing trace collectors are also difficult to maintain and to port, making them partially or wholly unusable on many modern systems.We present Laplace, a trace collector that can log every memory reference that a system performs. Laplace is implemented through modifications to a simulated processor and an operating system kernel. Because it collects references at the simulated CPU layer, Laplace produces traces that are complete and minimally distorted. Its modified kernel also logs selected events that a post-processor uses to associate every virtual memory and filesystem reference with its thread. It also uses this information to reconcile all uses of shared memory, which is a task that is more complex than previously believed. Laplace is capable of tracing a workload without modifications to any source, library, or executable file. Finally, Laplace is relatively easy to maintain and port to different architectures and kernels.