[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 …
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 …
GenStore: A high-performance in-storage processing system for genome sequence analysis
Read mapping is a fundamental step in many genomics applications. It is used to identify
potential matches and differences between fragments (called reads) of a sequenced …
potential matches and differences between fragments (called reads) of a sequenced …
Benchmarking a new paradigm: An experimental analysis of a real processing-in-memory architecture
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 …
Benchmarking memory-centric computing systems: Analysis of real processing-in-memory hardware
Many modern workloads such as neural network inference and graph processing are
fundamentally memory-bound. For such workloads, data movement between memory and …
fundamentally memory-bound. For such workloads, data movement between memory and …
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 DNA fragments
(ie, reads) collected from an individual to a known linear reference genome sequence (ie …
(ie, reads) collected from an individual to a known linear reference genome sequence (ie …
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 energy efficiency,
prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art …
prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art …
Evaluating machine learningworkloads on memory-centric computing systems
Training machine learning (ML) algorithms is a computationally intensive process, which is
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
frequently memory-bound due to repeatedly accessing large training datasets. As a result …
Casper: Accelerating stencil computations using near-cache processing
Stencil computations are commonly used in a wide variety of scientific applications, ranging
from large-scale weather prediction to solving partial differential equations. Stencil …
from large-scale weather prediction to solving partial differential equations. Stencil …