Results 121 to 130 of about 189,345 (270)
The Future of Instruction-Level Parallelism (ILP)
High-performance processors have long used instruction-level parallelism (ILP) to achieve performance, but in the past decade processor vendors have dramatically increased their reliance upon this technique. We therefore take another look at the theoretical limits of ILP, in order to evaluate challenges and opportunities for processor architectures ...
Chadwick, Alexandra W +8 more
openaire +1 more source
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley +1 more source
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Ecolabels as Heuristic Cues: Exploring the Role of Ecolabels in Food Attribute Inferences
ABSTRACT This study presents a novel approach by examining the role of environmental labels (e.g., ecolabels) as heuristic cues in consumer inferences, beyond their traditional informational function. The research evaluated the influence of the presence, number, and type (real or fake) of ecolabels on consumer inferences of an extra virgin olive oil ...
Francisco José Torres‐Peña +3 more
wiley +1 more source
ABSTRACT The increasing availability of GPU accelerated architectures for high‐performance computing presents new opportunities for scientific software but also challenges due to the complexity of porting legacy codes to accelerator platforms. Directive‐based programming models such as OpenACC offer a minimally intrusive pathway to exploit GPU ...
Carlos Junqueira‐Junior +3 more
wiley +1 more source
This study successfully established characteristic fingerprints of volatile flavor components in Boletus edulis subjected to different cooking methods. Using principal component analysis (PCA) to quantitatively evaluate changes in flavor substances, and combined with a sensory evaluation system, it comprehensively assessed the impact of cooking ...
Xin Wu +7 more
wiley +1 more source
Radiation schemes are critical components of Earth system models that need to be both efficient and accurate. Despite the use of approximations such as 1D radiative transfer, radiation can account for a large share of the runtime of expensive climate ...
Peter Ukkonen, Robin J. Hogan
doaj +1 more source
New Difference Triangle Sets by a Field‐Programmable Gate Array‐Based Search Technique
ABSTRACT We provide some difference triangle sets with scopes that improve upon the best known values. These are found with purpose‐built digital circuits realized with field‐programmable gate arrays (FPGAs) rather than software algorithms running on general‐purpose processors.
Mohannad Shehadeh +2 more
wiley +1 more source
ABSTRACT Articular cartilage undergoes structural and compositional changes during osteoarthritis (OA), one of the most common joint diseases. Earlier research shows that these changes are dependent on species and joint site, and they also vary across cartilage depth. In this study, we analyzed the depth‐wise proteoglycan and collagen contents, as well
Katja Honkapää +8 more
wiley +1 more source
The scientist is hiking towards the treasure of accurate and predictive simulations of relevant phenomena. Molecular Dynamics shows a path riddled with obstacles such as accuracy, speed or sampling issues. Deep‐learning offers a way around these obstacles, but runs into hurdles of its own.
Klara Bonneau +15 more
wiley +1 more source

