NextSilicon Maverick-2 promises to blow away the HPC market Nvidia left behind

The one chip startup building accelerators for something other than AI boasts performance up 10x that of modern GPUs using a ...
Opinion
How-To Geek on MSNOpinion

Python's SymPy Library Makes Math Easy. Here Are 6 Practical Uses

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about the subject. With SymPy, algebraic operations become easier than tedious ...
Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
IEEE

Accelerating Sparse Matrix-Matrix Multiplication by Adaptive Batching Strategy on MGPUSim

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
UPI

Ball python captured in New York park, two more still loose

Sept. 26 (UPI) --Animal rescuers in New York said they captured a 4-foot ball python in a Queens park -- but two more of the snakes are still on the loose in the area. Rescue group Puppy Kitty NYC ...
IEEE

Analysis of Several Sparse Formats for Matrices used in Sparse-Matrix Dense-Matrix Multiplication for Machine Learning on GPUs

Abstract: Sparse-matrix dense-matrix multiplication (SpMM) receives one sparse matrix and one dense matrix as two inputs, and outputs one dense matrix as a result. It plays a vital role in various ...