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05/29/2023
An Experimental Analysis of RowHammer in HBM2 DRAM Chips
RowHammer (RH) is a significant and worsening security, safety, and reli...
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05/12/2023
Venice: Improving Solid-State Drive Parallelism at Low Cost via Conflict-Free Accesses
The performance and capacity of solid-state drives (SSDs) are continuous...
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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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03/06/2023
SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation
Fast and accurate climate simulations and weather predictions are critic...
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01/17/2023
High-Performance and Scalable Agent-Based Simulation with BioDynaMo
Agent-based modeling plays an essential role in gaining insights into bi...
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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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11/08/2022
Accelerating Time Series Analysis via Processing using Non-Volatile Memories
Time Series Analysis (TSA) is a critical workload for consumer-facing de...
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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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08/22/2022
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning
Machine learning has recently gained traction as a way to overcome the s...
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08/21/2022
Scrooge: A Fast and Memory-Frugal Genomic Sequence Aligner for CPUs, GPUs, and ASICs
Motivation: Pairwise sequence alignment is a very time-consuming step in...
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08/02/2022
A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems
Sequence alignment is a fundamentally memory bound computation whose per...
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07/20/2022
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis
Profile hidden Markov models (pHMMs) are widely used in many bioinformat...
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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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06/02/2022
Exploiting Near-Data Processing to Accelerate Time Series Analysis
Time series analysis is a key technique for extracting and predicting ev...
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06/01/2022
PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques
DRAM-based main memory is used in nearly all computing systems as a majo...
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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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05/16/2022
Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis
We now need more than ever to make genome analysis more intelligent. We ...
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05/15/2022
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Hybrid storage systems (HSS) use multiple different storage devices to p...
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05/12/2022
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping
A critical step of genome sequence analysis is the mapping of sequenced ...
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04/05/2022
High-throughput Pairwise Alignment with the Wavefront Algorithm using Processing-in-Memory
We show that the wavefront algorithm can achieve higher pairwise read al...
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04/02/2022
Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems
Several manufacturers have already started to commercialize near-bank Pr...
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03/28/2022
Algorithmic Improvement and GPU Acceleration of the GenASM Algorithm
We improve on GenASM, a recent algorithm for genomic sequence alignment,...
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02/04/2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Dilated and transposed convolutions are widely used in modern convolutio...
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01/13/2022
SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems
Several manufacturers have already started to commercialize near-bank Pr...
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01/08/2022
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs
Dynamic parallelism on GPUs allows GPU threads to dynamically launch oth...
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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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10/29/2021
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM
Processing-using-memory (PuM) techniques leverage the analog operation o...
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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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07/19/2021
Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric
Ongoing climate change calls for fast and accurate weather and climate m...
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06/11/2021
FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications
Modern data-intensive applications demand high computation capabilities ...
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06/10/2021
CODIC: A Low-Cost Substrate for Enabling Custom In-DRAM Functionalities and Optimizations
DRAM is the dominant main memory technology used in modern computing sys...
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06/09/2021
IChannels: Exploiting Current Management Mechanisms to Create Covert Channels in Modern Processors
To operate efficiently across a wide range of workloads with varying pow...
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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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04/15/2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
Simple graph algorithms such as PageRank have been the target of numerou...
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04/11/2021
BurstLink: Techniques for Energy-Efficient Conventional and Virtual Reality Video Display
Conventional planar video streaming is the most popular application in m...
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01/19/2021
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
Near-Data-Processing (NDP) architectures present a promising way to alle...
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12/22/2020
SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM
Processing-using-DRAM has been proposed for a limited set of basic opera...
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12/05/2020
A Modern Primer on Processing in Memory
Modern computing systems are overwhelmingly designed to move data to com...
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10/05/2020
NATSA: A Near-Data Processing Accelerator for Time Series Analysis
Time series analysis is a key technique for extracting and predicting ev...
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09/29/2020
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Sparse general matrix-matrix multiplication (spGEMM) is an essential com...
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09/17/2020
FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching
DRAM Main memory is a performance bottleneck for many applications due t...
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09/17/2020
