GitHub

I implemented a sparse matrix using linked list.

There was an error while loading. Please reload this page. Sparse Matrix Operations using Linked Lists in C++ This project provides a C++ implementation of a sparse ...
Ars Technica

DeepSeek tests “sparse attention” to slash AI processing costs

Ever wonder why ChatGPT slows down during long conversations? The culprit is a fundamental mathematical challenge: Processing long sequences of text requires massive computational resources, even with ...
IEEE

A Fault-Aware Architecture for Reliable Sparse Matrix Multiplication

Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical. Moreover, sparse matrix multiplication has become a fundamental ...
IEEE

DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication

Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...
GitHub

[REQ] Allocation-free path for masked sparse matrix operations

Currently many operations in wp.sparse modify the end matrix topology, using CUB-backed reductions that require temporary storage allocations under the hood. As a result, then cannot be captured in ...
marktechpost

DeepSeek V3.2-Exp Cuts Long-Context Costs with DeepSeek Sparse Attention (DSA) While Maintaining Benchmark Parity

DeepSeek released DeepSeek-V3.2-Exp, an “intermediate” update to V3.1 that adds DeepSeek Sparse Attention (DSA)—a trainable sparsification path aimed at long-context efficiency. DeepSeek also reduced ...
C&EN

Density Functional Theory for Molecular and Periodic Systems in TURBOMOLE: Theory, Implementation, and Applications

Otto Schott Institute of Materials Research, Friedrich Schiller University Jena, Löbdergraben 32, 07743 Jena, Germany Department of Chemical Engineering, Indian Institute of Science, Bengaluru, ...