Category |
Multi-core processor |
Explicit Data Graph Execution |
Vaakya Architecture |
System bus model |
Processor-in-memory |
Harvard architecture |
Wel come
Energy consumption, latency and complexity on the chip to the limit on energy efficient appliances, architectural design used for concurrency. An attitude about nuclear programs in blocks of semi-independent operation, effective operations.This potential thesis competition with a large window of the building blocks of nuclear architecture, compiler, architecture and micro architecture to achieve efficiency and check the performance of the correlation functions divided leadership.
For high performance compiler for this type of architecture should be effectively closed. Compiler to block big block should amortize overhead per instruction, but the materials and compiler options to control the flow restriction limit. Block execution frequency, block size, how to check control flow paths that often run options, and communication to reduce overhead factors such as the exploitation of local calculations.
The research program determines which attributes the formation of block effects and block techniques to generate cash offer. Tail duplication, loop unrolling and loop peeling conversion - - and climbing optimization problem solution that the first contribution, building on the block extension of the tension between adaptation to eliminate the attenuation block is a method. Given these improvements, analysis shows that the flow control applications for the construction of large blocks of the structure are not obstacles and a fixed block size is a significant amount of wasted space. Eliminate this overhead, the paper for a different size blocks enable implementation of the proposed architecture, the compiler dramatically improve the efficiency of block.
We use these mechanisms to the formation of blocks to provide guidelines for developing a wide range of applications and processor configurations to achieve high performance. We found that the best strategy very different and are dependent on the number of cores. Use machine learning, we found broad policy to specific hardware configuration and find the best policy applications and microarchitecture between the number of parallel resources varies widely. These results show that effective and efficient implementation of nuclear units is possible if the compiler and micro-architecture designed in collaboration.