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Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
A carbon-nanotube-based tensor processing unit
The growth of data-intensive computing tasks requires processing units with higher
performance and energy efficiency, but these requirements are increasingly difficult to …
performance and energy efficiency, but these requirements are increasingly difficult to …
DAMOV: A new methodology and benchmark suite for evaluating data movement bottlenecks
Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …
ing performance, scalability, and energy efficiency in modern systems. Computer systems …
Benchmarking a new paradigm: An experimental analysis of a real processing-in-memory architecture
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
Memory-Centric Computing: Recent Advances in Processing-in-DRAM
Memory-centric computing aims to enable computation capability in and near all places
where data is generated and stored. As such, it can greatly reduce the large negative …
where data is generated and stored. As such, it can greatly reduce the large negative …
Benchmarking memory-centric computing systems: Analysis of real processing-in-memory hardware
Many modern workloads such as neural network inference and graph processing are
fundamentally memory-bound. For such workloads, data movement between memory and …
fundamentally memory-bound. For such workloads, data movement between memory and …
Functionally-complete boolean logic in real dram chips: Experimental characterization and analysis
Processing-using-DRAM (PuD) is an emerging paradigm that leverages the analog
operational properties of DRAM circuitry to enable massively parallel in-DRAM computation …
operational properties of DRAM circuitry to enable massively parallel in-DRAM computation …
MIMDRAM: An end-to-end processing-using-DRAM system for high-throughput, energy-efficient and programmer-transparent multiple-instruction multiple-data …
Processing-using-DRAM (PUD) is a processing-in-memory (PIM) approach that uses a
DRAM array's massive internal parallelism to execute very-wide (eg, 16,384-262,144-bit …
DRAM array's massive internal parallelism to execute very-wide (eg, 16,384-262,144-bit …
pLUTo: Enabling massively parallel computation in DRAM via lookup tables
Data movement between the main memory and the processor is a key contributor to
execution time and energy consumption in memory-intensive applications. This data …
execution time and energy consumption in memory-intensive applications. This data …
PULSAR: Simultaneous many-row activation for reliable and high-performance computing in off-the-shelf DRAM chips
Data movement between the processor and the main memory is a first-order obstacle
against improving performance and energy efficiency in modern systems. To address this …
against improving performance and energy efficiency in modern systems. To address this …