[HTML][HTML] A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives

B Peccerillo, M Mannino, A Mondelli… - Journal of Systems …, 2022 - Elsevier
In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions

D Senol Cali, JS Kim, S Ghose, C Alkan… - Briefings in …, 2019 - academic.oup.com
Nanopore sequencing technology has the potential to render other sequencing
technologies obsolete with its ability to generate long reads and provide portability …

A modern primer on processing in memory

O Mutlu, S Ghose, J Gómez-Luna… - … computing: from devices …, 2022 - Springer
Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system

J Gómez-Luna, I El Hajj, I Fernandez… - IEEE …, 2022 - ieeexplore.ieee.org
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …

Google workloads for consumer devices: Mitigating data movement bottlenecks

A Boroumand, S Ghose, Y Kim… - Proceedings of the …, 2018 - dl.acm.org
We are experiencing an explosive growth in the number of consumer devices, including
smartphones, tablets, web-based computers such as Chromebooks, and wearable devices …

SIMDRAM: A framework for bit-serial SIMD processing using DRAM

N Hajinazar, GF Oliveira, S Gregorio… - Proceedings of the 26th …, 2021 - dl.acm.org
Processing-using-DRAM has been proposed for a limited set of basic operations (ie, logic
operations, addition). However, in order to enable full adoption of processing-using-DRAM …

Processing data where it makes sense: Enabling in-memory computation

O Mutlu, S Ghose, J Gómez-Luna… - Microprocessors and …, 2019 - Elsevier
Today's systems are overwhelmingly designed to move data to computation. This design
choice goes directly against at least three key trends in systems that cause performance …

Rowhammer: A retrospective

O Mutlu, JS Kim - … Transactions on Computer-Aided Design of …, 2019 - ieeexplore.ieee.org
This retrospective paper describes the RowHammer problem in dynamic random access
memory (DRAM), which was initially introduced by Kim et al. at the ISCA 2014 Conference …

GenASM: A high-performance, low-power approximate string matching acceleration framework for genome sequence analysis

DS Cali, GS Kalsi, Z Bingöl, C Firtina… - 2020 53rd Annual …, 2020 - ieeexplore.ieee.org
Genome sequence analysis has enabled significant advancements in medical and scientific
areas such as personalized medicine, outbreak tracing, and the understanding of evolution …

Processing-in-memory: A workload-driven perspective

S Ghose, A Boroumand, JS Kim… - IBM Journal of …, 2019 - ieeexplore.ieee.org
Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …