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08/21/2023
Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator
We present Ramulator 2.0, a highly modular and extensible DRAM simulator...
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06/29/2023
RowPress: Amplifying Read Disturbance in Modern DRAM Chips
Memory isolation is critical for system reliability, security, and safet...
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06/28/2023
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors
Our ISCA 2014 paper provided the first scientific and detailed character...
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06/28/2023
Retrospective: An Experimental Study of Data Retention Behavior in Modern DRAM Devices: Implications for Retention Time Profiling Mechanisms
Our ISCA 2013 paper provides a fundamental empirical understanding of tw...
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06/28/2023
Retrospective: RAIDR: Retention-Aware Intelligent DRAM Refresh
Dynamic Random Access Memory (DRAM) is the prevalent memory technology u...
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06/27/2023
Retrospective: A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing
Our ISCA 2015 paper provides a new programmable processing-in-memory (PI...
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05/31/2023
Memory-Centric Computing
Memory-centric computing aims to enable computation capability in and ne...
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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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04/30/2023
Accelerating Genome Analysis via Algorithm-Architecture Co-Design
High-throughput sequencing (HTS) technologies have revolutionized the fi...
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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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01/15/2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
In recent years, Convolutional Neural Networks (CNNs) have become the st...
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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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12/09/2022
TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering
Basecalling is an essential step in nanopore sequencing analysis where t...
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11/22/2022
Utopia: Efficient Address Translation using Hybrid Virtual-to-Physical Address Mapping
The conventional virtual-to-physical address mapping scheme enables a vi...
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11/20/2022
TuRaN: True Random Number Generation Using Supply Voltage Underscaling in SRAMs
Prior works propose SRAM-based TRNGs that extract entropy from SRAM arra...
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11/15/2022
Taming Large-Scale Genomic Analyses via Sparsified Genomics
Searching for similar genomic sequences is an essential and fundamental ...
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11/14/2022
Fundamentally Understanding and Solving RowHammer
We provide an overview of recent developments and future directions in t...
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11/10/2022
DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips
To understand and improve DRAM performance, reliability, security and en...
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11/10/2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Resistive Random-Access Memory (RRAM) is well-suited to accelerate neura...
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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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11/06/2022
A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers
Nanopore sequencing generates noisy electrical signals that need to be c...
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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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10/08/2022
SpyHammer: Using RowHammer to Remotely Spy on Temperature
RowHammer is a DRAM vulnerability that can cause bit errors in a victim ...
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09/21/2022
HiRA: Hidden Row Activation for Reducing Refresh Latency of Off-the-Shelf DRAM Chips
DRAM is the building block of modern main memory systems. DRAM cells mus...
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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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09/18/2022
GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping
Nanopore sequencing is a widely-used high-throughput genome sequencing t...
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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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09/01/2022
Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction
Long-latency load requests continue to limit the performance of high-per...
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08/24/2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Important graph mining problems such as Clustering are computationally d...
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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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07/27/2022
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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07/27/2022
A Case for Self-Managing DRAM Chips: Improving Performance, Efficiency, Reliability, and Security via Autonomous in-DRAM Maintenance Operations
The memory controller is in charge of managing DRAM maintenance operatio...
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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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06/20/2022
Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices
RowHammer is a circuit-level DRAM vulnerability, where repeatedly activa...
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06/14/2022
COVIDHunter: COVID-19 pandemic wave prediction and mitigation via seasonality-aware modeling
Early detection and isolation of COVID-19 patients are essential for suc...
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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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06/04/2022
Demeter: A Fast and Energy-Efficient Food Profiler using Hyperdimensional Computing in Memory
Food profiling is an essential step in any food monitoring system needed...
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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
