This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

Abstract: In distributed matrix multiplication, stragglers present a significant challenge. Coding techniques are often employed to mitigate this issue; however, their effectiveness is typically ...

Google made another change to the JavaScript SEO documentation help document to explain and clarify JavaScript execution on non-200 HTTP status codes. The change. Google wrote, “All pages with a 200 ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...

Multiply ImpartnerCon continues to evolve as a premier destination for partner professionals, alliance leaders, and channel operations teams to explore actionable strategies for scaling partnerships, ...