Results 91 to 100 of about 36,354 (268)
Automatic Parallelization for GPUs
, 2013 GPUs are flexible parallel processors capable of accelerating real applications. To exploit them, programmers rewrite programs in new languages using intimate knowl-edge of the underlying hardware.
Thomas B. Jablin +1 more
core
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
Re-engineering Sequential Software to Introduce Parallelization
, 2017 In the quest for additional computational power to provide higher software performance, industry have shifted to multi-core processing units. At the same time, many existing applications still contain sequential software; in these cases, multi-core ...
Granholm, Andreas
core
Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
Molecular Oncology, EarlyView.IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
Synthesizing Parallel Imaging Applications using the CAP Computer-Aided Parallelization tool
, 1998 . Imaging applications such as filtering, image transforms and compression /decompression require vast amounts of computing power when applied to large data sets. These applications would potentially benefit from the use of parallel processing.
B. A. Gennart +4 more
core
A compiler extension for parallelizing arrays automatically on the cell heterogeneous processor [PDF]
, 2012 This paper describes the approaches taken to extend an array programming language compiler using a Virtual SIMD Machine (VSM) model for parallelizing array operations on Cell Broadband Engine heterogeneous machine.
Cockshott, W., Gdura, Y.
core
Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
MPEG Video Encoding - Parallelization and Optimal Performance
, 1996 This paper discusses some of the design concerns in parallelizing MPEG for video. A detailed overview of the MPEG algorithm is given (as it pertains to parallelization). Parallelization of macroblocks and groups of pictures (GOPs) are explored in detail.
Quandt, Brian, Sabharwal, Chaman
core +1 more source
Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Model Parallelism With Subnetwork Data Parallelism
CoRRPre-training large neural networks at scale imposes heavy memory demands on accelerators and often requires costly communication. We introduce Subnetwork Data Parallelism (SDP), a distributed training framework that partitions a model into structured subnetworks trained across workers without exchanging activations.
Vaibhav Singh +3 more
openaire +2 more sources