arithmetic IP

Filter
Filter

Login required.

Sign in

Login required.

Sign in

Login required.

Sign in

Compare 122 IP from 42 vendors (1 - 10)
  • Distributed Arithmetic FIR (DA-FIR) Filter Generator
    • Variable number of taps up to 1024
    • Multi-channel support (up to 32 channels)
    • Polyphase interpolation/decimation filters
    • Halfband filters
    Block Diagram -- Distributed Arithmetic FIR (DA-FIR) Filter Generator
  • High-Performance Hybrid Classical and Post-Quantum Cryptography
    • The High-Performance Hybrid Cryptography IP core delivers accelerated support for both classical (RSA, ECC) and post-quantum (ML-KEM, ML-DSA) algorithms in a unified architecture optimized for maximum throughput.
  • Vector-Capable Embedded RISC-V Processor
    • The EMSA5-GP is a highly-featured 32-bit RISC-V embedded processor IP core optimized for processing-demanding applications.
    • It is equipped with floating-point and vector-processing units, cache memories, and is suitable for concurrent execution in a multi-processor environment.
    Block Diagram -- Vector-Capable Embedded RISC-V Processor
  • Asymmetric cryptographic accelerator
    • The ACrypto Engine is an asymmetric cryptographic accelerator suitable for embedded application.
    • It provides capability for basic arithmetic and frequently used operations. Along with driver, it is flexible to support popular upperlayer applications.
  • PQC CRYSTALS core for accelerating NIST FIPS 202 FIPS 203 and FIPS 204
    • eSi-Crystals is a hardware core for accelerating the high-level operations specified in the NIST FIPS 202, FIPS 203 and FIPS 204 standards.
    • It supports the Cryptographic Suite for Algebraic Lattices (CRYSTALS), it is lattice-based digital signature algorithm designed to withstand attacks from quantum computers, placing it in the category of post-quantum cryptography (PQC). 
    Block Diagram -- PQC CRYSTALS core for accelerating NIST FIPS 202 FIPS 203 and FIPS 204
  • Double & Single Precision IEEE-754 complete FPU
    • The A2FD is a fully synthesizable module implemented in Verilog RTL.
    • It is a co-processor unit providing floating-point computation compliant with the ANSI/IEEE Std 754-1985, IEEE Standard for Binary Floating-Point Arithmetic (IEEE Standard).
    • It is designed to provide high performance floating-point computation while minimizing die size and power. Pipelined, single-cycle throughput operation is available for all operations except Divide, Remainder and Square Root operations.
    Block Diagram -- Double & Single Precision IEEE-754 complete FPU
  • Very high performance IEEE-754 modules
    • The A2FM product is a collection of floating-point execution units compliant with the ANSI/IEEE Std 754-1985, IEEE Standard for Binary Floating-Point Arithmetic (IEEE-754 Standard).
    • The units are designed for high frequency, high throughput implementations. Each unit is implemented as a state less pipeline that can easily be integrated into a high-performance processor design.
    Block Diagram -- Very high performance IEEE-754 modules
  • 64 bit RISC-V Multicore Processor with 2048-bit VLEN and AMM
    • 2 different packages with or without vector: AX46MPV, AX46MP
    • in-order dual-issue 8-stage CPU core with up to 2048-bit VLEN
    • Symmetric multiprocessing up to 16 cores
    • Private Level-2 cache
    • Shared L3 cache and coherence support
    Block Diagram -- 64 bit RISC-V Multicore Processor with 2048-bit VLEN and AMM
  • 32 bit RISC-V Multicore Processor with 256-bit VLEN and AMM
    • AndesCore™ A46MP(V) 32-bit multicore CPU IP is an 8-stage superscalar processor with Vector Processing Unit (VPU) based on AndeStar™ V5 architecture and Andes Matrix Multiply (AMM) extension.
    • It supports RISC-V standard “G (IMA-FD)”, “ZC” compression, “B” bit manipulation, DSP/SIMD ‘P’ (draft), “V” (vector), CMO (cache management) extensions, Andes performance enhancements, plus Andes Custom Extension™ (ACE) for user-defined instructions.
    Block Diagram -- 32 bit RISC-V Multicore Processor with 256-bit VLEN and AMM
×
Semiconductor IP