NDLI: Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications

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Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications

Modeling Superscalar Processors via Statistical Simulation

Hybrid Analytical-Statistical Modeling for Efficiently Exploring Architecture and Workload Design Spaces

Filtering Techniques to Improve Trace-Cache Efficiency

Reactive-Associative Caches

Adaptive Mode Control: A Static-Power-Efficient Cache Design

Implementation and Evaluation of the Complex Streamed Instruction Set

On the Efficiency of Reductions in µ-SIMD Media Extensions

Boolean Formula-Based Branch Prediction for Future Technologies

Using Dataflow Based Context for Accurate Value Prediction

Recovery Mechanism for Latency Misprediction

A Cost Framework for Evaluating Integrated Restructuring Optimizations

Compiling for the Impulse Memory Controller

On the Stability of Temporal Data Reference Profiles

Code Reordering and Speculation Support for Dynamic Optimization System

A Unified Modulo Scheduling and Register Allocation Technique for Clustered Processors

Cache-Friendly Implementations of Transitive Closure

Exploring the Design Space of Future CMPs

Area and System Clock Effects on SMT/CMP Processors

Limits on Speculative Module-Level Parallelism in Imperative and Object-Oriented Programs on CMP Platforms

Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications

Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors

Optimizing Software Data Prefetches with Rotating Registers

Multi-Chain Prefetching: Effective Exploitation of Inter-Chain Memory Parallelism for Pointer-Chasing Codes

Data Flow Analysis for Software Prefetching Linked Data Structures in Java

Comparing and Combining Read Miss Clustering and Software Prefetching

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Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications

Content Provider	ACM Digital Library
Author	Calder, Brad Perelman, Erez Sherwood, Timothy
Abstract	Abstract: Modern architecture research relies heavily on detailed pipeline simulation. Simulating the full execution of an industry standard benchmark can take weeks to months to complete. To overcome this problem researchers choose a very small portion of a program's execution to evaluate their results, rather than simulating the entire program. In this paper we propose Basic Block Distribution Analysis as an automated approach for finding these small portions of the program to simulate that are representative of the entire program's execution. This approach is based upon using profiles of a program's code structure (basic blocks) to uniquely identify different phases of execution in the program. We show that the periodicity of the basic block frequency profile reflects the periodicity of detailed simulation across several different architectural metrics (e.g., IPC, branch miss rate, cache miss rate, value misprediction, address misprediction, and reorder buffer occupancy). Since basic block frequencies can be collected using very fast profiling tools, our approach provides a practical technique for finding the periodicity and simulation points in applications.
Starting Page	3
Ending Page	14
Page Count	12
ISBN	0769513638
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2001-09-08
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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