Month: August 2025

Table of Links Abstract and 1. Introduction Background 2.1 Rollup 2.2 EIP-4844 2.3 VAR(Vector Autoregression) Data 3.1 Consensus security data 3.2 Ethereum usage data 3.3 Rollup Transactions Data 3.4 Blob gas fee data Empirical Results 4.1 Consensus security 4.2 Ethereum usage 4.3 Rollup transactions 4.4 Blob gas fee market Conclusion and References A. Consensus Security … Read more

Table of Links Abstract and 1. Introduction Background 2.1 Rollup 2.2 EIP-4844 2.3 VAR(Vector Autoregression) Data 3.1 Consensus security data 3.2 Ethereum usage data 3.3 Rollup Transactions Data 3.4 Blob gas fee data Empirical Results 4.1 Consensus security 4.2 Ethereum usage 4.3 Rollup transactions 4.4 Blob gas fee market Conclusion and References A. Consensus Security … Read more

Table of Links Abstract and 1. Introduction Background 2.1 Rollup 2.2 EIP-4844 2.3 VAR(Vector Autoregression) Data 3.1 Consensus security data 3.2 Ethereum usage data 3.3 Rollup Transactions Data 3.4 Blob gas fee data Empirical Results 4.1 Consensus security 4.2 Ethereum usage 4.3 Rollup transactions 4.4 Blob gas fee market Conclusion and References A. Consensus Security … Read more

Table of Links Abstract and 1. Introduction Background 2.1 Rollup 2.2 EIP-4844 2.3 VAR(Vector Autoregression) Data 3.1 Consensus security data 3.2 Ethereum usage data 3.3 Rollup Transactions Data 3.4 Blob gas fee data Empirical Results 4.1 Consensus security 4.2 Ethereum usage 4.3 Rollup transactions 4.4 Blob gas fee market Conclusion and References A. Consensus Security … Read more

:::info Authors: (1) Seongwan Park, this author contributed equally to the paper from Seoul National University, Seoul, Republic of Korea (sucre87@snu.ac.kr); (2) Bosul Mun, this author contributed equally to the paper from Seoul National University, Seoul, Republic of Korea (bsbs8645@snu.ac.kr); (3) Seungyun Lee, Seoul National University, Seoul, Repulic of Korea; (4) Woojin Jeong, Seoul National … Read more

Košice, Slovakia, August 12th, 2025/Chainwire/–Remittix (RTX), the blockchain project that is redefining cross-border payments, has now officially announced the release date for its Beta Web3 Wallet in Q3 2025. This announcement follows the project’s presale exceeding $18.7 million and over 590 million tokens sold, in a milestone before hitting centralized exchange (CEX) listings. The Beta … Read more

Content Overview Overview Performance optimization workflow Optimize the performance on one GPU Debug the input pipeline Debug the performance of one GPU Enable mixed precision and XLA Optimize the performance on the multi-GPU single host Optimize gradient AllReduce GPU host thread contention Overview This guide will show you how to use the TensorFlow Profiler with … Read more

Content Overview Overview Available graph optimizers Setup Compare execution performance with and without Grappler Constant folding optimizer Debug stripper optimizer Summary Overview TensorFlow uses both graph and eager executions to execute computations. A tf.Graph contains a set of tf.Operation objects (ops) which represent units of computation and tf.Tensor objects which represent the units of data that flow between ops. Grappler is … Read more

Content Overview Overview Setup Supported hardware Setting the dtype policy Building the model Training the model with Model.fit Loss scaling Underflow and Overflow Loss scaling overview Training the model with a custom training loop GPU performance tips Increasing your batch size Ensuring GPU Tensor Cores are used XLA Cloud TPU performance tips Summary Overview Mixed … Read more

Content Overview Setup Configure the ResNet-18 model for the Cifar-10 dataset Visualize the training model Visualize the testing model Train and evaluate Export a SavedModel This tutorial fine-tunes a Residual Network (ResNet) from the TensorFlow Model Garden package (tensorflow-models) to classify images in the CIFAR dataset. Model Garden contains a collection of state-of-the-art vision models, implemented with TensorFlow’s high-level … Read more

Content Overview Model Garden models Official models Research models Training experiment framework Specialized ML operations Training loops with Orbit The TensorFlow Model Garden provides implementations of many state-of-the-art machine learning (ML) models for vision and natural language processing (NLP), as well as workflow tools to let you quickly configure and run those models on standard … Read more

Content Overview Setup TPU initialization’ Manual device placement Distribution strategies Classification on TPUs Define a Keras model Load the dataset Train the model using Keras high-level APIs Train the model using a custom training loop Improving performance with multiple steps inside tf.function Next steps This guide demonstrates how to perform basic training on Tensor Processing Units … Read more