MINIME-GPU: Multicore Benchmark Synthesizer for GPUs

MINIME-GPU is an automated tool that generates synthetic benchmarks in C++ using OpenCL API. The GPU synthetic benchmark preserves the following performance characteristics: instruction throughput, computation-to-memory access, dynamic memory instruction mix, memory efficiency, and compute unit occupancy. Our framework contains two main modules: benchmark characterizer and synthetic benchmark synthesizer. The benchmark characterizer obtains parallel benchmark characteristics by using a simulation tool. The benchmark synthesizer generates a synthetic benchmark from the benchmark characteristics obtained. Also, the specific OpenCL API is used during synthesis in order to generate benchmarks for CPU/GPU heterogeneous systems.



  • Etem Deniz and Alper Sen, "MINIME-GPU: Multicore Benchmark Synthesizer for GPUs", ACM Transactions on Architecture and Code Optimization (TACO), 2015. PDF
  • Etem Deniz, Alper Sen, Brian Kahne, and Jim Holt, "MINIME: Pattern-Aware Multicore Benchmark Synthesizer", IEEE Transactions on Computers (TC), 2015. PDF
  • Etem Deniz, Alper Sen, Jim Holt, and Brian Kahne, "Using Software Architectural Patterns for Synthetic Embedded Multicore Benchmark Development", IEEE International Symposium on Workload Characterization (IISWC), 2012. PDF

    Source Code

    Multi2Sim, AMD Catalyst driver, and AMD APP SDK with OpenCL are required for running the MINIME-GPU.
    The source code can be downloaded here. It includes Multi2Sim.



    If you have any comment, questions, suggestions, or want to contribute to MINIME-GPU, please feel free to contact us at: etem.deniz at boun dot edu dot tr