Patent classifications
G06F9/30098
PRE-STAGED INSTRUCTION REGISTERS FOR VARIABLE LENGTH INSTRUCTION SET MACHINE
Methods and systems relating to improved processing architectures with pre-staged instructions are disclosed herein. A disclosed processor includes an instruction memory, at least one functional processing unit, a bus, a set of instruction registers configured to be loaded, using the bus, with a set of pre-staged instructions from the instruction memory, and a logic circuit configured to provide the set of pre-staged instructions from the set of instruction registers to the at least one functional processing unit in response to receiving an instruction from the instruction memory.
Broadside random access memory for low cycle memory access and additional functions
A computational system includes one or more processors. Each processor has multiple registers, as well attached memory to hold instructions. The processor is coupled to one or more broadside interfaces. A broadside interface allows the processor to load or store an entire widget state in a single clock cycle of the processor. The broadside interface also allows the processor to move and store 32 bytes of information into RAM in less than four to five clock cycles of the processor while the processor concurrently performs one or more mathematical operations on the information while the move and store operation is taking place.
Dynamic graphical processing unit register allocation
Systems, apparatuses, and methods for dynamic graphics processing unit (GPU) register allocation are disclosed. A GPU includes at least a plurality of compute units (CUs), a control unit, and a plurality of registers for each CU. If a new wavefront requests more registers than are currently available on the CU, the control unit spills registers associated with stack frames at the bottom of a stack since they will not likely be used in the near future. The control unit has complete flexibility determining how many registers to spill based on dynamic demands and can prefetch the upcoming necessary fills without software involvement. Effectively, the control unit manages the physical register file as a cache. This allows younger workgroups to be dynamically descheduled so that older workgroups can allocate additional registers when needed to ensure improved fairness and better forward progress guarantees.
Non-cached loads and stores in a system having a multi-threaded, self-scheduling processor
Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute instructions; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In a representative embodiment, the processor core is further adapted to execute a non-cached load instruction to designate a general purpose register rather than a data cache for storage of data received from a memory circuit. The core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, and to generate one or more work descriptor data packets to another circuit for execution of corresponding execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.
METHOD AND APPARATUS FOR VECTOR SORTING USING VECTOR PERMUTATION LOGIC
A method for sorting of a vector in a processor is provided that includes performing, by the processor in response to a vector sort instruction, generating a control input vector for vector permutation logic comprised in the processor based on values in lanes of the vector and a sort order for the vector indicated by the vector sort instruction and storing the control input vector in a storage location.
OFFLOADING PROCESSING TASKS TO DECOUPLED ACCELERATORS FOR INCREASING PERFORMANCE IN A SYSTEM ON A CHIP
In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.
ISA extension for high-bandwidth memory
A method of processing in-memory commands in a high-bandwidth memory (HBM) system includes sending a function-in-HBM instruction to the HBM by a HBM memory controller of a GPU. A logic component of the HBM receives the FIM instruction and coordinates the instructions execution using the controller, an ALU, and a SRAM located on the logic component.
Implementing specialized instructions for accelerating Smith-Waterman sequence alignments
Various techniques for accelerating Smith-Waterman sequence alignments are provided. For example, threads in a group of threads are employed to use an interleaved cell layout to store relevant data in registers while computing sub-alignment data for one or more local alignment problems. In another example, specialized instructions that reduce the number of cycles required to compute each sub-alignment score are utilized. In another example, threads are employed to compute sub-alignment data for a subset of columns of one or more local alignment problems while other threads begin computing sub-alignment data based on partial result data received from the preceding threads. After computing a maximum sub-alignment score, a thread stores the maximum sub-alignment score and the corresponding position in global memory.
APPARATUS AND METHOD FOR PROPAGATING CONDITIONALLY EVALUATED VALUES IN SIMD/VECTOR EXECUTION USING AN INPUT MASK REGISTER
An apparatus and method for propagating conditionally evaluated values are disclosed. For example, a method according to one embodiment comprises: reading each value contained in an input mask register, each value being a true value or a false value and having a bit position associated therewith; for each true value read from the input mask register, generating a first result containing the bit position of the true value; for each false value read from the input mask register following the first true value, adding the vector length of the input mask register to a bit position of the last true value read from the input mask register to generate a second result; and storing each of the first results and second results in bit positions of an output register corresponding to the bit positions read from the input mask register.
SORT ACCELERATION PROCESSORS, METHODS, SYSTEMS, AND INSTRUCTIONS
A processor of an aspect includes packed data registers, and a decode unit to decode an instruction. The instruction may indicate a first source packed data to include at least four data elements, to indicate a second source packed data to include at least four data elements, and to indicate a destination storage location. An execution unit is coupled with the packed data registers and the decode unit. The execution unit, in response to the instruction, is to store a result packed data in the destination storage location. The result packed data may include at least four indexes that may identify corresponding data element positions in the first and second source packed data. The indexes may be stored in positions in the result packed data that are to represent a sorted order of corresponding data elements in the first and second source packed data.