Difference between revisions of "InOrder ToDo List"
From gem5
(Created page with ''''Python Configurability''' InOrderCPU configuration (uniprocessor options) * MTApproach - Multi-Threading (MT) Approach * Resource - Resource Configuration (will eve…') |
(No difference)
|
Revision as of 12:42, 12 January 2010
Python Configurability
InOrderCPU configuration (uniprocessor options)
* MTApproach - Multi-Threading (MT) Approach * Resource - Resource Configuration (will eventually be used to autogenerate C++)
* ResourceType - Type of resource (Enum type) * ResourceParams - Parameters for this type of resource * Request - List of requests for this type of resource (Enum type) * Latency - operation latency and issue latency (intra/inter thread) * Count - Number of such resource type
* PipelineDesc - Pipeline Description
* InstSchedule - Instruction schedule specified as a vector of InstClassSchedule * InstClassSchedule - Vector of schedules per instruction class - load/store, Int execute, FP execute, specialized inst, etc. (do we still want a distinction between front end and back end schedules?) * ResourceRequestList - Vector of ResourceRequest (per stage, right? * ResourceRequest - Vector of requests for resources
* Other params
MTApproach options
* None (single threaded) * Fine-grained (switch context every cycle or every few cycles, like Ultrasparc T2) * Coarse-grained (switch context on thread stalls, like 'SwitchOnCacheMiss' currently) * SMT (all contexts active, like 'SMT' currently)
ResourceType/Request options
* FetchUnit o AssignNextPC o UpdateTargetPC o SelectThread (for fine-grained and coarse grained MT approaches; may also be done in a separate thread selection unit or pick unit as in Ultrasparc T2) o Any other fetch address generation? * MemPort (DataReadPort, DataWritePort, FetchPort) o Access o InitiateAccess o CompleteAccess * DecodeUnit o DecodeInst * BPredUnit o Predict o Update * UseDefUnit o ReadReg o WriteReg * AgenUnit o GenerateAddr * ExecUnit o Exec o InitiateExec o CompleteExec o GenerateAddr * GradUnit o Graduate * Interstage buffers (only for SMT?!)
Simulation Speed
* Instruction Schedule Work o Use Vector of Vectors instead of Priority Queue o Identify Instruction Schedule Types (via Tuple) o Cache Instruction Schedule, Generate On-Demand o Instructions walk through schedule by incrementing pointer instead of popping from queue o If dynamic schedule is needed, then copy the remaining part of schedule and let the instruction add/remove as it pleases + Better solution here? * Event-Sleeping Work o Sleep instructions waiting for an long-delay event o Sleep CPU w/no activity (partially implemented)