As cores have become better at exposing Instruction-Level Parallelism (ILP), they have become bigger, more complex, and consumes more power. These cores are approaching the Power- and Memory-wall quickly. A new microarchitecture proposed by Carlson et. al claims to solve these problems. They claim that the new microarchitecture, the Load Slice Core, is able to outperform both In-Order and Out-of-Order designs in an area and power restricted environment. Based on Carlson et. al.’s work, we have implemented and evaluated a prototype version of their Load Slice Core using the In-Order Core Ariane. We evaluated the Load Slice Core by comparing the LSC to an IOC when running a microbenchmark designed by us, and when running a set of Application ...
To harness the potential of CMPs for scalable, energy-efficient performance in general-purpose compu...
Current microprocessors improve performance by exploiting instruction-level parallelism (ILP). ILP h...
Hardware design for high performance computing appears to be reaching its limits on several fronts. ...
Driven by the motivation to expose instruction-level parallelism (ILP), microprocessor cores have ev...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Around 2003, newly activated power constraints caused single-thread performance growth to slow drama...
Superscalar out-of-order cores deliver high performance at the cost of increased complexity and powe...
[EN] Superscalar out-of-order cores deliver high performance at the cost of increased complexity and...
Superscalar out-of-order cores deliver high performance at the cost of increased complexity and powe...
Over the past two decades, microprocessor designers have focused on improving the performance of a s...
Modern superscalar processors use wide instruction issue widths and out-of-order execution in order ...
Power constraints led to the end of exponential growth in single–processor performance, which charac...
Around 2003, newly activated power constraints caused single-thread performance growth to slow drama...
The performance of memory-bound commercial applications such as databases is limited by increasing m...
Complexity is one of the most important problems facing microarchitects. It is exacerbated by the ap...
To harness the potential of CMPs for scalable, energy-efficient performance in general-purpose compu...
Current microprocessors improve performance by exploiting instruction-level parallelism (ILP). ILP h...
Hardware design for high performance computing appears to be reaching its limits on several fronts. ...
Driven by the motivation to expose instruction-level parallelism (ILP), microprocessor cores have ev...
textThe level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Lev...
Around 2003, newly activated power constraints caused single-thread performance growth to slow drama...
Superscalar out-of-order cores deliver high performance at the cost of increased complexity and powe...
[EN] Superscalar out-of-order cores deliver high performance at the cost of increased complexity and...
Superscalar out-of-order cores deliver high performance at the cost of increased complexity and powe...
Over the past two decades, microprocessor designers have focused on improving the performance of a s...
Modern superscalar processors use wide instruction issue widths and out-of-order execution in order ...
Power constraints led to the end of exponential growth in single–processor performance, which charac...
Around 2003, newly activated power constraints caused single-thread performance growth to slow drama...
The performance of memory-bound commercial applications such as databases is limited by increasing m...
Complexity is one of the most important problems facing microarchitects. It is exacerbated by the ap...
To harness the potential of CMPs for scalable, energy-efficient performance in general-purpose compu...
Current microprocessors improve performance by exploiting instruction-level parallelism (ILP). ILP h...
Hardware design for high performance computing appears to be reaching its limits on several fronts. ...