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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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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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04/21/2022
A Case for Transparent Reliability in DRAM Systems
Today's systems have diverse needs that are difficult to address using o...
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09/24/2021
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning
Past research has proposed numerous hardware prefetching techniques, mos...
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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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04/11/2021
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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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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09/17/2020
Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics
Increasing single-cell DRAM error rates have pushed DRAM manufacturers t...
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05/26/2020
CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off
DRAM is the prevalent main memory technology, but its long access latenc...
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10/23/2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations
Important workloads, such as machine learning and graph analytics applic...
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10/20/2019
SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAs
Motivation: We introduce SneakySnake, a highly parallel and highly accur...
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10/12/2019