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How Multi-threading can increase on-chip parallelism

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Presentation on theme: "How Multi-threading can increase on-chip parallelism"— Presentation transcript:

1 How Multi-threading can increase on-chip parallelism
Multi-threaded RTOS How Multi-threading can increase on-chip parallelism

2 Outline Introduction Multi-threading models
Architectures of multi-threaded processors Simultaneous multi-threading and multi-processors Cache design Examples of Multi-threaded environments Conclusions

3 Introduction Two forms of parallelism
instruction-level parallelism (ILP) thread-level parallelism (TLP) Both identify independent instructions that can execute in parallel Wide-issue superscalar processors exploit ILP by executing multiple instructions from a single program in a single cycle. Multiprocessors exploit TLP by executing different threads in parallel on different processors. The first multi-threaded processor approaches in the 1970s and 1980s applied multi-threading at user-thread-level to solve the memory access latency problem.

4 Introduction Motivations for multi-threaded processor architecture development include chip area , cost and complexity. Simultaneous Multi-threading (SMT), Single chip multiprocessing (CMP), SMT VLIW architecture, Multithreaded Vector (SMV) architecture DSP applications inherently benefit from the following architectural characteristics: Parallelization at multiple levels of hierarchy: - Instruction - separate instruction memory space - Data – separate date memory space - Thread- multiple functional units - Data transfer – multiple wide data buses

5 Vertical and Horizontal Waste
Vertical waste is introduced when the processor issues no instructions in a cycle Horizontal waste when not all issue slots can be filled in a cycle.

6 Vertical and Horizontal Waste

7 Multi-threaded Models
Fine-Grain Multithreading Only one thread issues instructions each cycle, but it can use the entire issue width of the processor. SM: full Simultaneous Issue Single Dual Four SM: limited Connection Hardware context is connected directly one of each type of functional units. Less dynamic

8 Performance

9 SMT VLIW Architecture

10 Simultaneous Vector Multi-threaded Architecture (SVMT)

11 SMT vs. Multiprocessing

12 Cache design

13 Examples Multi-threaded RTOS
Analog Devices VDK uClinux The RTXC Quadros RTOS RTCX/ss RTXC/ss ThreadX

14 Conclusions A simultaneous multithreaded architecture is superior in performance to a multiple-issue multiprocessor (multi-issue CMP). SMT boost utilization by dynamically scheduling functional units among multiple threads. SMT also increases hardware design flexibility. Simultaneous multithreading increases the complexity of instruction scheduling. Increased parallelism offered makes multi-threading ideal for DSP applications where each application can run as a separate thread.


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