Visualization in urban analysis and designCOGENERATIONCO2 EMISSIONSENERGY TECHNOLOGIESABSTRACT Contributed by Susan Pietsch (spietsch@arch.adelaide.edu.au)doi:10.1068/a241799Mohapatra, AbheejeetPion Ltd, LondonEnvironment & Planning B Planning & Design...
In this paper, we present CHOMP, a novel method for continuous path renement that uses covariant gradient techniques to improve the quality of sampled trajectories. Our optimization technique converges over a wider range of input paths and is able to optimize higher- order dynamics of trajectories...
Prime editing (PE) enables precise and versatile genome editing without requiring double-stranded DNA breaks. Here we describe the systematic optimization of PE systems to efficiently correct human cystic fibrosis (CF) transmembrane conductance regulator (CFTR) F508del, a three-nucleotide deletion that ...
Evaluation of Network Stack Optimization Techniques for Wireless Sensor Networks We present a network stack implementation for a wireless sensor platform based on a byte-level radio. The network stack provides error-correction code, mul... J Jeong - 《通讯、网络与系统学国际期刊(英文)》 被引量: ...
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - deepspeedai/DeepSpeed
optimization. A comprehensive solution for RTL power exploration and analysis can be used to further tune the micro-architecture for low power. Automatic power-optimization techniques in the RTL-to-GDSII implementation flow ensure that design meets power-performance-area (PPA) targets followed by high...
Then we propose a multi--level optimization approach to find the optimal switching times and the optimal continuous control inputs. Through this scheme, the decomposed optimization can potentially be done more efficiently than the combined approach. Finally, we present a continuous-time constrained ...
Section 3 discusses the software-hardware partitioning decisions, optimization techniques and proposed architecture. This paper is then concluded in section 4. 2 TRANSPORT DEMULTIPLEXER SIMULATION MODEL Transport demultiplexer simulation model is shown in figure 1. It is based on the memory-to-memory...
Automatically dispatch high-performance operators such as FlashAttention and Triton kernels to increase training throughput. Compatible with DeepSpeed 🚀, easily utilizing a variety of ZeRO optimization techniques.FlexibleSupport various LLMs (InternLM, Mixtral-8x7B, Llama 2, ChatGLM, Qwen, Baichuan,...
The hierarchical equations of motion (HEOM) approach can describe the reduced dynamics of a system simultaneously coupled to multiple bosonic and fermionic environments. The complexity of exactly describing the system-environment interaction with the HEO