It is challenging to identify regulatory transcriptional regulators (TRs), which control gene expression via regulatory elements and epigenomic signals, in context-specific studies on the onset and ...

In the world of artificial intelligence, matrix multiplication plays a fundamental role in how models like ChatGPT process and generate human-like text. At the core of these models is a mechanism that ...

The majority of computation in deep learning involves matrix multiplication, so any optimizations in this area directly improve performance metrics. This article Matrix Multiplication: Optimizing the ...

Abstract: As the main workload of many scientific and machine learning applications, sparse matrix-matrix multiplication (spGEMM) has become a hot research field. The current spG EMM workloads exhibit ...

The main aim of the project is to develop a web-based application that is going to make it possible for the customer to place an order of food by using this app . In this we are also creating food ...

Abstract: We address in this paper a case study of sparse matrix multiplication product (SMP) optimization i.e. where both matrices are sparse. We first study initial versions of loop nest structured ...

This project is the result of training, which lasted 3 weeks. The task was to implement, known to many, the analogue of the game 2048 to vanilla Javascript with the use of the maximum number of design ...