All eyes are on the chip maker as it prepares a full-court press into a new process technology, spearheaded by chips for laptops, as well as for the data center. Here's the download on what's new in ...

Intel rearchitected the way the Multiply-Accumulate array works and reconfigured and ... so it can do more work in parallel. NPU 5 also supports FP8 datatypes natively and it now has a native FP32 ...

Nvidia's stock recovers after an initial dip as rival AMD announces a major AI chip deal with OpenAI. Explore the market ...

Nvidia dominates AI infrastructure with 94% market share, robust margins, and a $3-4T GPU TAM, balancing strong growth and ...

Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Introducing a sequential loop over N dimension in GEMM causes the performance to drop up to 30x on A100 GPU. for k in range(0, tl.cdiv(K, BLOCK_SIZE_K)): a = tl.load(a_ptrs, mask=offs_k[None, :] < K - ...