As thread level parallelism in applications has continued to expand, so has research in chip multi-core processors. As more and more applications become multi-threaded we expect to find a growing number of threads executing on a machine. As a consequence, the operating system will require increasingly larger amounts of CPU time to schedule these threads efficiently. Instead of perpetuating the trend of performing more complex thread scheduling in the operating system, we propose a scheduling mechanism that can be efficiently implemented in hardware as well. Our approach of identifying multi-threaded application bottlenecks such as thread synchronization sections complements the Fairness-aware Scheduler method. It achieves an average speed u...
We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its perfo...
While multicore processors improve overall chip throughput and hardware utilization, resource sharin...
We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its perfo...
Part 4: Session 4: Multi-core Computing and GPUInternational audienceAs threads of execution in a mu...
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently exec...
Abstract—Single-ISA heterogeneous multi-cores consisting of small (e.g., in-order) and big (e.g., ou...
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently exec...
This paper evaluates new techniques to improve performance and efficiency of Chip MultiProcessors (C...
Asymmetric multicore processors (AMP) are necessary for extracting performance in an era of limited ...
For most multi-threaded applications, data structures must be shared between threads. Ensuring threa...
Symmetric-ISA (instruction set architecture) asymmetric-performance multicore processors (AMPs) were...
Large, high frequency single-core chip designs are increasingly being replaced with larger chip mult...
User-Level threading (M:N) is gaining popularity over kernel-level threading (1:1) in many programmi...
While multicore processors improve overall chip throughput and hardware utilization, resource sharin...
Resource sharing is a critical issue in simultaneous multithreading (SMT) processors as threads runn...
We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its perfo...
While multicore processors improve overall chip throughput and hardware utilization, resource sharin...
We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its perfo...
Part 4: Session 4: Multi-core Computing and GPUInternational audienceAs threads of execution in a mu...
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently exec...
Abstract—Single-ISA heterogeneous multi-cores consisting of small (e.g., in-order) and big (e.g., ou...
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently exec...
This paper evaluates new techniques to improve performance and efficiency of Chip MultiProcessors (C...
Asymmetric multicore processors (AMP) are necessary for extracting performance in an era of limited ...
For most multi-threaded applications, data structures must be shared between threads. Ensuring threa...
Symmetric-ISA (instruction set architecture) asymmetric-performance multicore processors (AMPs) were...
Large, high frequency single-core chip designs are increasingly being replaced with larger chip mult...
User-Level threading (M:N) is gaining popularity over kernel-level threading (1:1) in many programmi...
While multicore processors improve overall chip throughput and hardware utilization, resource sharin...
Resource sharing is a critical issue in simultaneous multithreading (SMT) processors as threads runn...
We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its perfo...
While multicore processors improve overall chip throughput and hardware utilization, resource sharin...
We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its perfo...