Scalability Limitations of Processing-in-Memory using Real System Evaluations
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- Scalability Limitations of Processing-in-Memory using Real System Evaluations
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Scalability Limitations of Processing-in-Memory using Real System Evaluations
POMACSProcessing-in-memory (PIM), where the compute is moved closer to the memory or the data, has been widely explored to accelerate emerging workloads. Recently, different PIM-based systems have been announced by memory vendors to minimize data movement and ...
Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities
PACT '16: Proceedings of the 2016 International Conference on Parallel Architectures and CompilationProcessing data in or near memory (PIM), as opposed to in conventional computational units in a processor, can greatly alleviate the performance and energy penalties of data transfers from/to main memory. Graphics Processing Unit (GPU) architectures and ...
Scalability Limitations of Processing-in-Memory using Real System Evaluations
SIGMETRICS '24Processing-in-memory (PIM) has been widely explored in academia and industry to accelerate numerous workloads. By reducing the data movement and increasing parallelism, PIM offers great performance and energy efficiency. A large amount of cores or nodes ...
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- General Chairs:
- Michele Garetto,
- Andrea Marin,
- Program Chairs:
- Florin Ciucu,
- Giulia Fanti,
- Rhonda Righter
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Association for Computing Machinery
New York, NY, United States
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