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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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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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05/12/2022
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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04/24/2022
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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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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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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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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05/08/2021
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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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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02/11/2021
BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows
Aggressive memory density scaling causes modern DRAM devices to suffer f...
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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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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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09/16/2020
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis
Genome sequence analysis has enabled significant advancements in medical...
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07/30/2020
Accelerating Genome Analysis: A Primer on an Ongoing Journey
Genome analysis fundamentally starts with a process known as read mappin...
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05/19/2020
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework
Computers continue to diversify with respect to system designs, emerging...
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07/26/2019
A Workload and Programming Ease Driven Perspective of Processing-in-Memory
Many modern and emerging applications must process increasingly large vo...
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05/02/2019
Enabling Practical Processing in and near Memory for Data-Intensive Computing
Modern computing systems suffer from the dichotomy between computation o...
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03/10/2019
Processing Data Where It Makes Sense: Enabling In-Memory Computation
Today's systems are overwhelmingly designed to move data to computation....
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02/20/2019
Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study
It has become increasingly difficult to understand the complex interacti...
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02/19/2019
Dataplant: In-DRAM Security Mechanisms for Low-Cost Devices
Low-cost devices are now commonplace and can be found in diverse environ...
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10/22/2018
Enabling Efficient RDMA-based Synchronous Mirroring of Persistent Memory Transactions
Synchronous Mirroring (SM) is a standard approach to building highly-ava...
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07/13/2018
Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation
Compared to planar (i.e., two-dimensional) NAND flash memory, 3D NAND fl...
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07/13/2018
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Main memory (DRAM) consumes as much as half of the total system power in...
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06/12/2018
Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results
Fuel cells are a promising power source for future data centers, offerin...
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05/17/2018
Recent Advances in DRAM and Flash Memory Architectures
This article features extended summaries and retrospectives of some of t...
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05/16/2018
Recent Advances in Overcoming Bottlenecks in Memory Systems and Managing Memory Resources in GPU Systems
This article features extended summaries and retrospectives of some of t...
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05/08/2018
Characterizing, Exploiting, and Mitigating Vulnerabilities in MLC NAND Flash Memory Programming
This paper summarizes our work on experimentally analyzing, exploiting, ...
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05/08/2018
Read Disturb Errors in MLC NAND Flash Memory
This paper summarizes our work on experimentally characterizing, mitigat...
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05/08/2018
SoftMC: Practical DRAM Characterization Using an FPGA-Based Infrastructure
This paper summarizes the SoftMC DRAM characterization infrastructure, w...
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05/08/2018
LISA: Increasing Internal Connectivity in DRAM for Fast Data Movement and Low Latency
This paper summarizes the idea of Low-Cost Interlinked Subarrays (LISA),...
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05/08/2018
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency
This paper summarizes our work on experimental characterization and anal...
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05/08/2018
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips
This article summarizes key results of our work on experimental characte...
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05/08/2018
Experimental Characterization, Optimization, and Recovery of Data Retention Errors in MLC NAND Flash Memory
This paper summarizes our work on experimentally characterizing, mitigat...
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05/02/2018
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance
The application resource specification--a static specification of severa...
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04/30/2018
Mosaic: An Application-Transparent Hardware-Software Cooperative Memory Manager for GPUs
Modern GPUs face a trade-off on how the page size used for memory manage...
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04/30/2018
Holistic Management of the GPGPU Memory Hierarchy to Manage Warp-level Latency Tolerance
In a modern GPU architecture, all threads within a warp execute the same...
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02/07/2018
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management
The application resource specification--a static specification of severa...
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02/01/2018
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions
Poor DRAM technology scaling over the course of many years has caused DR...
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11/28/2017
Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery
NAND flash memory is ubiquitous in everyday life today because its capac...
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08/16/2017
Improving Multi-Application Concurrency Support Within the GPU Memory System
GPUs exploit a high degree of thread-level parallelism to hide long-late...
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06/27/2017
Using ECC DRAM to Adaptively Increase Memory Capacity
Modern DRAM modules are often equipped with hardware error correction ca...
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06/27/2017
Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives
NAND flash memory is ubiquitous in everyday life today because its capac...
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06/10/2017
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures
Processing-in-memory (PIM) architectures have seen an increase in popula...
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05/29/2017
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms
The energy consumption of DRAM is a critical concern in modern computing...
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10/30/2016
