In-memory computing (IMC) quantized neural network (QNN) accelerators are extensively used to improve energy-efficiency. However, ternary (TNN) with bitwise operations in nonvolatile memory lacked. In addition, specific generally for a single algorithm limited applications. this report, multiply-and-accumulate (MAC) circuit based on spin-torque transfer magnetic random access (STT-MRAM) is prop...

The relevance of VLSI in performance computing, telecommunications, and consumer electronics has been expanding progressively, and at a very hasty pace. In order to build complex digital logic circuits it is often essential to subdivide multi –million transistors design into manageable pieces. Circuit partitioning is a general approach used to solve problems that are too large and complex to be...

During evolution, genetic networks are rewired through strengthening or weakening their interactions to develop new regulatory schemes. In the galactose network, the GAL1/GAL3 paralogues and the GAL2 gene enhance their own expression mediated by the Gal4p transcriptional activator. The wiring strength in these feedback loops is set by the number of Gal4p binding sites. Here we show using synthe...

This paper proposes a hardware friendly multiresolution motion estimation algorithm and VLSI architecture for high definition MPEG-like video encoder hardware implementation. By parallel searching and utilizing the high correlation in multiresolition reference pixels, huge throughput and computation in motion estimation due to large search window are alleviated considerably. Sixteen way paralle...

The space of elliptic modular forms of fixed weight and level can be identified with a space of intertwining operators, from a holomorphic discrete series representation of SL2(R) to a space of automorphic forms. Moreover, multiplying elliptic modular forms corresponds to a branching problem involving tensor products of holomorphic discrete series representations. In this paper, we explicitly c...