[HTML][HTML] Computing platforms for big biological data analytics: perspectives and challenges
The last decade has witnessed an explosion in the amount of available biological sequence
data, due to the rapid progress of high-throughput sequencing projects. However, the …
data, due to the rapid progress of high-throughput sequencing projects. However, the …
Chameleon: Versatile and practical near-DRAM acceleration architecture for large memory systems
H Asghari-Moghaddam, YH Son… - 2016 49th annual …, 2016 - ieeexplore.ieee.org
The performance of computer systems is often limited by the bandwidth of their memory
channels, but further increasing the bandwidth is challenging under the stringent pin and …
channels, but further increasing the bandwidth is challenging under the stringent pin and …
Trim: Enhancing processor-memory interfaces with scalable tensor reduction in memory
Personalized recommendation systems are gaining significant traction due to their industrial
importance. An important building block of recommendation systems consists of the …
importance. An important building block of recommendation systems consists of the …
MIMD Programs Execution Support on SIMD Machines: A Holistic Survey
D Mustafa, R Alkhasawneh, F Obeidat… - IEEE Access, 2024 - ieeexplore.ieee.org
The Single Instruction Multiple Data (SIMD) architecture, supported by various high-
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …
Beam longitudinal dynamics simulation studies
H Timko, S Albright, T Argyropoulos, H Damerau… - … Review Accelerators and …, 2023 - APS
The beam longitudinal dynamics code blond, utilized tool, has been developed at CERN
since 2014. It has emerged as a central tool for conducting longitudinal beam dynamics …
since 2014. It has emerged as a central tool for conducting longitudinal beam dynamics …
Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy
Background Deep learning-based head and neck lymph node level (HN_LNL)
autodelineation is of high relevance to radiotherapy research and clinical treatment planning …
autodelineation is of high relevance to radiotherapy research and clinical treatment planning …
Deployment of deep neural networks for object detection on edge ai devices with runtime optimization
Deep neural networks have proven increasingly important for automotive scene
understanding with new algorithms offering constant improvements of the detection …
understanding with new algorithms offering constant improvements of the detection …
Spatial–Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization
This article presents the optimization and hybrid parallelization of a spatial–spectral feature
extraction (FE) method from hyperspectral images (HSIs) using local covariance matrix (CM) …
extraction (FE) method from hyperspectral images (HSIs) using local covariance matrix (CM) …
Differential evolution algorithm on the GPU with C-CUDA
LP Veronese, RA Krohling - IEEE Congress on Evolutionary …, 2010 - ieeexplore.ieee.org
Several areas of knowledge are being benefited with the reduction of the computing time by
using the technology of Graphics Processing Units (GPU) and the Compute Unified Device …
using the technology of Graphics Processing Units (GPU) and the Compute Unified Device …
Bringing UMAP closer to the speed of light with GPU acceleration
Abstract The Uniform Manifold Approximation and Projection (UMAP) algorithm has become
widely popular for its ease of use, quality of results, and support for exploratory …
widely popular for its ease of use, quality of results, and support for exploratory …