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04/03/2023
TransPimLib: A Library for Efficient Transcendental Functions on Processing-in-Memory Systems
Processing-in-memory (PIM) promises to alleviate the data movement bottl...
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12/13/2022
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems
Partitioning applications between NDP and host CPU cores causes inter-se...
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10/16/2022
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory
Recent nano-technological advances enable the Monolithic 3D (M3D) integr...
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09/19/2022
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud
Neural networks (NNs) are growing in importance and complexity. A neural...
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09/12/2022
Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory
Bulk bitwise operations, i.e., bitwise operations on large bit vectors, ...
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07/27/2022
Sectored DRAM: An Energy-Efficient High-Throughput and Practical Fine-Grained DRAM Architecture
There are two major sources of inefficiency in computing systems that us...
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07/16/2022
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Training machine learning (ML) algorithms is a computationally intensive...
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06/13/2022
Machine Learning Training on a Real Processing-in-Memory System
Training machine learning algorithms is a computationally intensive proc...
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05/29/2022
Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases
Today's computing systems require moving data back-and-forth between com...
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05/29/2022
Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures
The increasing prevalence and growing size of data in modern application...
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04/24/2022
Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Cooperation
A growth in data volume, combined with increasing demand for real-time a...
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12/28/2021
Casper: Accelerating Stencil Computation using Near-cache Processing
Stencil computation is one of the most used kernels in a wide variety of...
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11/03/2021
Extending Memory Capacity in Consumer Devices with Emerging Non-Volatile Memory: An Experimental Study
The number and diversity of consumer devices are growing rapidly, alongs...
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10/04/2021
Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware
Many modern workloads such as neural network inference and graph process...
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09/26/2021
HARP: Practically and Effectively Identifying Uncorrectable Errors in Memory Chips That Use On-Die Error-Correcting Codes
State-of-the-art techniques for addressing scaling-related main memory e...
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05/26/2021
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
Processing-using-DRAM has been proposed for a limited set of basic opera...
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05/09/2021
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture
Many modern workloads, such as neural networks, databases, and graph pro...
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05/08/2021
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 ...
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04/15/2021
pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation
Data movement between main memory and the processor is a significant con...
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03/01/2021
Polynesia: Enabling Effective Hybrid Transactional/Analytical Databases with Specialized Hardware/Software Co-Design
An exponential growth in data volume, combined with increasing demand fo...
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03/01/2021
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models
As the need for edge computing grows, many modern consumer devices now c...
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12/22/2020