Abstract: Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log 2 calculators, exp2 calculators, log ALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Abstract: Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log2 calculators, exp2 calculators, logALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Abstract: Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log 2 calculators, exp2 calculators, log ALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Abstract: Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log 2 calculators, exp2 calculators, log ALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Abstract: Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log 2 calculators, exp2 calculators, log ALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Abstract: A family of computers is disclosed and claimed that supports simultaneous processes from the single core up to multi-chip Program Execution Systems (PES). The instruction processing of the instructed resources is local, dispensing with the need for large VLIW memories. The cores through the PES have maximum performance for Amdahl-compliant algorithms like matrix inversion, because the multiplications do not stall and the other circuitry keeps up. Cores with log based multiplication generators improve this performance by a factor of two for sine and cosine calculations in single precision floating point and have even greater performance for loge and ex calculations. Apparatus specifying, simulating, and/or layouts of the computer (components) are disclosed. Apparatus the computer and/or its components are disclosed.

Abstract: Apparatus adapted for exascale computers are disclosed. The apparatus includes, but is not limited to at least one of: a system, data processor chip (DPC), Landing module (LM), chips including LM, anticipator chips, simultaneous multi-processor (SMP) cores, SMP channel (SMPC) cores, channels, bundles of channels, printed circuit boards (PCB) including bundles, floating point adders, accumulation managers, QUAD Link Anticipating Memory (QUADLAM), communication networks extended by coupling links of QUADLAM, log 2 calculators, exp2 calculators, log ALU, Non-Linear Accelerator (NLA), and stairways. Methods of algorithm and program development, verification and debugging are also disclosed. Collectively, embodiments of these elements disclose a class of supercomputers that obsolete Amdahl's Law, providing cabinets of petaflop performance and systems that may meet or exceed an exaflop of performance for Block LU Decomposition (Linpack).

Abstract: A family of computers is disclosed and claimed that supports simultaneous processes from the single core up to multi-chip Program Execution Systems (PES). The instruction processing of the instructed resources is local, dispensing with the need for large VLIW memories. The cores through the PES have maximum performance for Amdahl-compliant algorithms like matrix inversion, because the multiplications do not stall and the other circuitry keeps up. Cores with log based multiplication generators improve this performance by a factor of two for sine and cosine calculations in single precision floating point and have even greater performance for loge and ex calculations. Apparatus specifying, simulating, and/or layouts of the computer (components) are disclosed. Apparatus the computer and/or its components are disclosed.

Abstract: A family of computers is disclosed and claimed that supports simultaneous processes from the single core up to multi-chip Program Execution Systems (PES). The instruction processing of the instructed resources is local, dispensing with the need for large VLIW memories. The cores through the PES have maximum performance for Amdahl-compliant algorithms like matrix inversion, because the multiplications do not stall and the other circuitry keeps up. Cores with log based multiplication generators improve this performance by a factor of two for sine and cosine calculations in single precision floating point and have even greater performance for loge and ex calculations. Apparatus specifying, simulating, and/or layouts of the computer (components) are disclosed. Apparatus the computer and/or its components are disclosed.

Abstract: A family of computers is disclosed and claimed that supports simultaneous processes from the single core up to multi-chip Program Execution Systems (PES). The instruction processing of the instructed resources is local, dispensing with the need for large VLIW memories. The cores through the PES have maximum performance for Amdahl-compliant algorithms like matrix inversion, because the multiplications do not stall and the other circuitry keeps up. Cores with log based multiplication generators improve this performance by a factor of two for sine and cosine calculations in single precision floating point and have even greater performance for loge and ex calculations. Apparatus specifying, simulating, and/or layouts of the computer (components) are disclosed. Apparatus the computer and/or its components are disclosed.

Abstract: A floating point (FP) shifter for use with FP adders providing a shifted FP operand as a power of the exponent base (usually two) multiplied by a FP operand. First arithmetic processor using at least one FP shifter with FP adder. FP adder for N FP operands creating FP result, where N is at least three. Second arithmetic processor including at least one FP adder for N operands. Descriptions of FP shifter and FP adder for implementing their operational methods. Implementations of FP shifter and FP adder.

Abstract: A method and apparatus receiving number and using instruction to create resulting number approximating one of square root, reciprocal, or reciprocal square root of number. The resulting number as a product of that process. Using resulting number in a graphics accelerator. Apparatus preferably includes log-calculator, log-arithmetic-unit, and exponential-calculator. At least one of log-calculator and exponential-calculator include implementation non-linear calculator. The non-linear calculators may use at least one of mid-band-filter, outlier-removal-circuit. The invention includes making arithmetic circuit, log-calculator, log-arithmetic-unit and exponential-calculator. The arithmetic circuit, log-calculator, log-arithmetic-unit and exponential-calculator as products of manufacture. The arithmetic circuit may further include at least one of a floating-point-to-log-converter and/or a second of log-calculators.

Abstract: The invention includes apparatus and methods for high-speed calculation of non-linear functions based upon a shifted adder and a offset generator. Various implementations may preferably include a input preprocessor and/or an output post processor. The invention includes a family of core cells built from instances of these calculators providing an upward, functionally compatible, extension to a family of Application Specific Integrated Circuit (ASIC) core cells. All of these core cells consistently provide the ability to perform high speed DSP tasks including Fast Fourier Transforms (FFTs), Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters. The core cells built from the calculators can concurrently perform many non-linear function calculations. The core cells can switch between tasks every clock cycle.

Abstract: A floating point (FP) shifter for use with FP adders providing a shifted FP operand as a power of the exponent base (usually two) multiplied by a FP operand. First arithmetic processor using at least one FP shifter with FP adder. FP adder for N FP operands creating FP result, where N is at least three. Second arithmetic processor including at least one FP adder for N operands. Descriptions of FP shifter and FP adder for implementing their operational methods. Implementations of FP shifter and FP adder.

Abstract: A method and apparatus receiving number and using instruction to create resulting number approximating one of square root, reciprocal, or reciprocal square root of number. The resulting number as a product of that process. Using resulting number in a graphics accelerator. Apparatus preferably includes log-calculator, log-arithmetic-unit, and exponential-calculator. At least one of log-calculator and exponential-calculator include implementation non-linear calculator. The non-linear calculators may use at least one of mid-band-filter, outlier-removal-circuit. The invention includes making arithmetic circuit, log-calculator, log-arithmetic-unit and exponential-calculator. The arithmetic circuit, log-calculator, log-arithmetic-unit and exponential-calculator as products of manufacture. The arithmetic circuit may further include at least one of a floating-point-to-log-converter and/or a second of log-calculators.

Abstract: The invention includes apparatus and methods for high-speed calculation of non-linear functions based upon a shifted adder and a offset generator. Various implementations may preferably include a input preprocessor and/or an output post processor. The invention includes a family of core cells built from instances of these calculators providing an upward, functionally compatible, extension to a family of Application Specific Integrated Circuit (ASIC) core cells. All of these core cells consistently provide the ability to perform high speed DSP tasks including Fast Fourier Transforms (FFTs), Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters. The core cells built from the calculators can concurrently perform many non-linear function calculations. The core cells can switch between tasks every clock cycle.

Abstract: A reconfigurable processor includes at least three (3) MacroSequencers (10)-(16) which are configured in an array. Each of the MacroSequencers is operable to receive on a separate one of four buses (18) an input from the other three MacroSequencers and from itself in a feedback manner. In addition, a control bus (20) is operable to provide control signals to all of the MacroSequencers for the purpose of controlling the instruction sequence associated therewith and also for inputting instructions thereto. Each of the MacroSequencers includes a plurality of executable units having inputs and outputs and each for providing an associated execution algorithm. The outputs of the execution units are input to an output selector which selects the outputs for outputs on at least one external output and on at least one feedback path. An input selector (66) is provided having an input for receiving at least one external output and at least the feedback path.

Abstract: A reconfigurable processor includes at least three (3) MacroSequencers (10)-(16) which are configured in an array. Each of the MacroSequencers is operable to receive on a separate one of four buses (18) an input from the other three MacroSequencers and from itself in a feedback manner. In addition, a control bus (20) is operable to provide control signals to all of the MacroSequencers for the purpose of controlling the instruction sequence associated therewith and also for inputting instructions thereto. Each of the MacroSequencers includes a plurality of executable units having inputs and outputs and each for providing an associated execution algorithm. The outputs of the execution units are input to an output selector which selects the outputs for outputs on at least one external output and on at least one feedback path. An input selector (66) is provided having an input for receiving at least one external output and at least the feedback path.