Obsolete Parameters in Database 11gR1



ddl_wait_for_locks	Specifies whether DDL statements (such as ALTER TABLE ... ADD COLUMN) wait and complete instead of timing out if the statement is not able to acquire all required locks.
logmnr_max_persistent_sessions	Specifies the maximum number of persistent LogMiner mining sessions that are concurrently active when all sessions are mining redo logs generated by standalone instances.
plsql_compiler_flags	Specifies a list of flags for the PL/SQL compiler as a comma-separated list of strings.

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What is Tensor Parallelism and relationship between Buffer and GPU

Tensor Parallelism in GPU Tensor parallelism is a technique used to distribute the computation of large tensor operations across multiple GPUs or multiple cores within a GPU . It is an essential method for improving the performance and scalability of deep learning models, particularly when dealing with very large models that cannot fit into the memory of a single GPU. Key Concepts Tensor Operations : Tensors are multidimensional arrays used extensively in deep learning. Common tensor operations include matrix multiplication, convolution, and element-wise operations. Parallelism : Parallelism involves dividing a task into smaller sub-tasks that can be executed simultaneously. This approach leverages the parallel processing capabilities of GPUs to speed up computations. How Tensor Parallelism Works Splitting Tensors : The core idea of tensor parallelism is to split large tensors into smaller chunks that can be processed in parallel. Each chunk is assigned to a different GP...

Data Wrangling vs EDA

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What's replicated, what's not?

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