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  2. NVDLA - Wikipedia

    en.wikipedia.org/wiki/NVDLA

    The NVIDIA Deep Learning Accelerator (NVDLA) is an open-source hardware neural network AI accelerator created by Nvidia. [1] The accelerator is written in Verilog and is configurable and scalable to meet many different architecture needs. NVDLA is merely an accelerator and any process must be scheduled and arbitered by an outside entity such as ...

  3. Domain-specific architecture - Wikipedia

    en.wikipedia.org/wiki/Domain-specific_architecture

    A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of a given application domain. The term is often used in contrast to general-purpose architectures, such as CPUs , that are designed to operate on any computer program .

  4. Donor-specific antibody - Wikipedia

    en.wikipedia.org/wiki/Donor-specific_antibody

    DSA are a result of B cell and plasma cell activation and bind to HLA and/or non-HLA molecules on the endothelium [1] of the graft. They were first described in 1969 by Patel et al., who found that Transplant recipients who were positively tested for DSA using a complement-dependent cytotoxicity crossmatch assay had a higher risk of transplant ...

  5. Ada Lovelace (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Ada_Lovelace_(micro...

    Ada Lovelace, also referred to simply as Lovelace, [1] is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Ampere architecture, officially announced on September 20, 2022.

  6. Maxwell (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Maxwell_(microarchitecture)

    Photo of James Clerk Maxwell, eponym of architecture. Maxwell is the codename for a GPU microarchitecture developed by Nvidia as the successor to the Kepler microarchitecture. . The Maxwell architecture was introduced in later models of the GeForce 700 series and is also used in the GeForce 800M series, GeForce 900 series, and Quadro Mxxx series, as well as some Jetson produ

  7. Tesla (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Tesla_(microarchitecture)

    So one SM as a whole can execute 8 MADs (16 operations) and 8 MULs (8 operations) per clock, or 24 operations per clock, which is (relatively speaking) 3 times the number of SPs. Therefore, to calculate the theoretical dual-issue MAD+MUL performance in floating point operations per second [ FLOPS sp+sfu , GFLOPS ] of a graphics card with SP ...

  8. Elliptic Curve Digital Signature Algorithm - Wikipedia

    en.wikipedia.org/wiki/Elliptic_Curve_Digital...

    [8] On March 29, 2011, two researchers published an IACR paper [9] demonstrating that it is possible to retrieve a TLS private key of a server using OpenSSL that authenticates with Elliptic Curves DSA over a binary field via a timing attack. [10] The vulnerability was fixed in OpenSSL 1.0.0e. [11]

  9. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.