Concurrent Instruction Execution TRIZ Cases

Bloom-filter tracking limits outstanding speculative fetches, reducing L2 code reads and cache pollution while preserving critical paths.

Embedded feedback control lets accelerators execute dynamic branches without host intervention.

A tiled programmable engine combines vector cores, scatter-gather access, and cooperative prefetching for irregular workloads.

Global and path history guide specialized next fetch tables, improving multi-target branch accuracy and sequential processor fetching.

This case uses higher-radix butterfly merges and GPU registers to accelerate FFTs, reduce memory use, and free DSP capacity.

Super cores combine neighboring processors for efficient single-thread execution.

This case shows how software-defined super cores run instruction segments concurrently for higher IPC and flexible performance per watt.

A virtual run-ahead mechanism replays branch backslices from the out-of-order engine, preserving parallelism during misprediction recovery.

Capture queues restore register states to resolve DSP pipeline hazards.

Instruction scheduler hints pipeline independent instructions without dedicated hazard units.

This case aggregates neighboring processor cores into virtual cores, running instruction segments concurrently with flexible energy use.