Advances in emerging memory technologies: From data storage to artificial intelligence
G Molas, E Nowak - Applied Sciences, 2021 - mdpi.com
This paper presents an overview of emerging memory technologies. It begins with the
presentation of stand-alone and embedded memory technology evolution, since the …
presentation of stand-alone and embedded memory technology evolution, since the …
[HTML][HTML] From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures
We now need more than ever to make genome analysis more intelligent. We need to read,
analyze, and interpret our genomes not only quickly, but also accurately and efficiently …
analyze, and interpret our genomes not only quickly, but also accurately and efficiently …
A modern primer on processing in memory
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 …
design choice goes directly against at least three key trends in computing that cause …
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 …
operations, addition). However, in order to enable full adoption of processing-using-DRAM …
Rowhammer: A retrospective
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 …
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
Genome sequence analysis has enabled significant advancements in medical and scientific
areas such as personalized medicine, outbreak tracing, and the understanding of evolution …
areas such as personalized medicine, outbreak tracing, and the understanding of evolution …
Processing data where it makes sense: Enabling in-memory computation
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 …
choice goes directly against at least three key trends in systems that cause performance …
Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
Icebreaker: Warming serverless functions better with heterogeneity
Serverless computing, an emerging computing model, relies on" warming up" functions prior
to its anticipated execution for faster and cost-effective service to users. Unfortunately …
to its anticipated execution for faster and cost-effective service to users. Unfortunately …
Google neural network models for edge devices: Analyzing and mitigating machine learning inference bottlenecks
Emerging edge computing platforms often contain machine learning (ML) accelerators that
can accelerate inference for a wide range of neural network (NN) models. These models are …
can accelerate inference for a wide range of neural network (NN) models. These models are …