Tensilica, Inc.

Mips Technologies, Inc.

Cadence Design Systems, Inc.

Earl A Killian

Ricardo E Gonzalez

Walter David Lichtenstein

Albert Ren-Rui Wang

William A Huffman

Dror E Maydan

Henry Packard Moreton

Timothy J Van Hook

Robert P Wilson

Christopher Rowen

John C Ruttenberg

Ashish B Dixit

Monica Lam

Peter Y Hsu

Pavlos Konas

Richard Ruddell

David W Goodwin

Christopher Mark Songer

Rangarajan Srinivasan

Akilesh Parameswar

Nupur Bhattacharyya

Marines Puig Medina

Darin Stamenov Petkov

Himanshu A Sanghavi

Peng Tu

James Robert Kennedy

Albert RenRui Wang

Marc Alan Evans

Peter Yan-Tek Hsu

Dror Eliezer Maydan

Perter Hsu

A system for generating processor hardware supports a language for significant extensions to the processor instruction set, where the designer specifies only the semantics of the new instructions and the system generates other logic. The extension language provides for the addition of processor state, including register files, and instructions that operate on that state. The language also provides for new data types to be added to the compiler to represent the state added. It allows separate specification of reference semantics and instruction implementation, and uses this to automate design verification. In addition, the system generates formatted instruction set documentation from the language specification.

Automated processor generation system and method for designing a configurable processor

An automated processor design tool uses a description of customized processor instruction set extensions in a standardized language to develop a configurable definition of a target instruction set, a Hardware Description Language description of circuitry necessary to implement the instruction set, and development tools such as a compiler, assembler, debugger and simulator which can be used to develop applications for the processor and to verify it. Implementation of the processor circuitry can be optimized for various criteria such as area, power consumption, speed and the like. Once a processor configuration is developed, it can be tested and inputs to the system modified to iteratively optimize the processor implementation. By providing a constrained domain of extensions and optimizations, the process can be automated to a high degree, thereby facilitating fast and reliable development.

System and method of designing instruction extensions to supplement an existing processor instruction set architecture

System and method of customizing an existing processor design having an existing processor instruction set architecture with instruction extensions

The present invention provides extended precision in SIMD arithmetic operations in a processor having a register file and an accumulator. A first set of data elements and a second set of data elements are loaded into first and second vector registers, respectively. Each data element comprises N bits. Next, an arithmetic instruction is fetched from memory. The arithmetic instruction is decoded. Then, the first vector register and the second vector register are read from the register file. The present invention executes the arithmetic instruction on corresponding data elements in the first and second vector registers. The resulting element of the execution is then written into the accumulator. Then, the resulting element is transformed into an N-bit width element and written into a third register for further operation or storage in memory. The transformation of the resulting element can include, for example, rounding, clamping, and/or shifting the element.

Providing extended precision in SIMD vector arithmetic operations

Automated processor generation system for designing a configurable processor and method for the same

The present invention provides alignment and ordering of vector elements for SIMD processing. In the alignment of vector elements for SIMD processing, one vector is loaded from a memory unit into a first register and another vector is loaded from the memory unit into a second register. The first vector contains a first byte of an aligned vector to be generated. Then, a starting byte specifying the first byte of an aligned vector is determined. Next, a vector is extracted from the first register and the second register beginning from the first bit in the first byte of the first register continuing through the bits in the second register. Finally, the extracted vector is replicated into a third register such that the third register contains a plurality of elements aligned for SIMD processing. In the ordering of vector elements for SIMD processing, a first vector is loaded from a memory unit into a first register and a second vector is loaded from the memory unit into a second register. Then, a subset of elements are selected from the first register and the second register. The elements from the subset are then replicated into the elements in the third register in a particular order suitable for subsequent SIMD vector processing.

Alignment and ordering of vector elements for single instruction multiple data processing

A processor can achieve high code density while allowing higher performance than existing architectures, particularly for Digital Signal Processing (DSP) applications. In accordance with one aspect, the processor supports three possible instruction sizes while maintaining the simplicity of programming and allowing efficient physical implementation. Most of the application code can be encoded using two sets of narrow size instructions to achieve high code density. Adding a third (and larger, i.e. VLIW) instruction size allows the architecture to encode multiple operations per instruction for the performance critical section of the code. Further, each operation of the VLIW format instruction can optionally be a SIMD operation that operates upon vector data. A scheme for the optimal utilization (highest achievable performance for the given amount of hardware) of multiply-accumulate (MAC) hardware is also provided.

Vector co-processor for configurable and extensible processor architecture

A system for adding advanced instructions to a microprocessor includes a language for formally capturing the new instructions and a method for generating hardware implementations and software tools for the extended processors. The extension language provides for additions of VLIW instructions, complex load/store instructions, more powerful description styles using functions, more powerful register operands, and a new set of built-in modules. The method is capable of generating fully-pipelined micro-architectural implementations for the new instructions in the form of synthesizable HDL descriptions which can be processed by standard CAD tools. The method is also capable of generating software components for extending software development tools for the microprocessor with new instructions.

Method and apparatus for adding advanced instructions in an extensible processor architecture

Load/store operation of memory misaligned vector data using alignment register storing realigned data portion for combining with remaining portion

The present invention provides extended precision in SIMD arithmetic operations in a processor having a register file and an accumulator. A first set of data elements and a second set of data elements are loaded into a first vector register and a second vector register, respectively. Each data element comprises N bits. Next, an arithmetic instruction is fetched from memory. The arithmetic instruction is decoded. Then, a first vector register and a second vector register are read from the register file. The present invention then executes the arithmetic instruction on corresponding data elements in the first and second vector registers. The result of the execution is then written into the accumulator. Then, each element in the accumulator is transformed into an N-bit width element and stored into the memory.

Method for providing extended precision in SIMD vector arithmetic operations

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Los Altos Hills, CA, United States of America

Earl A Killian