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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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CaLRS: a critical-aware shared LLC request scheduling algorithm on GPGPU.

Jianliang Ma1, Jinglei Meng1, Tianzhou Chen1

  • 1College of Computer Science, Zhejiang University, Zheda Road No. 38, Hangzhou 310013, China.

Thescientificworldjournal
|March 3, 2015
PubMed
Summary
This summary is machine-generated.

Modern GPUs generate many memory requests, causing queues at the shared LLC. A new critical-aware shared LLC request scheduling algorithm (CaLRS) prioritizes critical requests, improving GPU performance.

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Area of Science:

  • Computer Architecture
  • GPU Computing
  • Memory Systems

Background:

  • Modern Graphics Processing Units (GPUs) exhibit ultra-high thread-level parallelism, leading to a high volume of simultaneous memory requests.
  • These numerous requests often result in queues at shared Last-Level Cache (LLC) banks and global memory.
  • While global memory request scheduling is well-studied, the service order at the shared LLC remains an under-optimized area.

Purpose of the Study:

  • To investigate the impact of memory request service order on shared LLC performance in GPUs.
  • To propose a novel scheduling algorithm that optimizes LLC bank service sequences.
  • To enhance the schedulability of Streaming Multiprocessors (SMs) by improving LLC request handling.

Main Methods:

  • Developed a critical-aware shared LLC request scheduling algorithm (CaLRS).
  • Defined warp criticality based on the count of unserviced memory requests from the same warp at the LLC bank.
  • Implemented and evaluated CaLRS through experiments on GPU applications.

Main Results:

  • CaLRS effectively boosts SM schedulability by prioritizing memory requests with high criticality.
  • The proposed algorithm demonstrates indirect performance improvements for GPU applications.
  • Analysis shows significant queuing at LLC banks, validating the need for optimized scheduling.

Conclusions:

  • Optimizing the service order of memory requests at the shared LLC is crucial for GPU performance.
  • The critical-aware shared LLC request scheduling algorithm (CaLRS) offers an effective approach to manage LLC queues.
  • Prioritizing critical memory requests enhances GPU efficiency and application performance.