Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Matthew D. Sinclair"'
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:275-290
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 19:1-26
Hardware specialization is becoming a key enabler of energy-efficient performance. Future systems will be increasingly heterogeneous, integrating multiple specialized and programmable accelerators, each with different memory demands. Traditionally, c
Publikováno v:
2022 IEEE International Symposium on Workload Characterization (IISWC).
Publikováno v:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Autor:
Sarita V. Adve, Matthew D. Sinclair, Muhammad Huzaifa, Johnathan Alsop, Giordano Salvador, Abdulrahman Mahmoud
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 17:1-27
As GPUs have become more programmable, their performance and energy benefits have made them increasingly popular. However, while GPU compute units continue to improve in performance, on-chip memories lag behind and data accesses are becoming increasi
Autor:
Hoa Nguyen, Ayaz Akram, Bobby R. Bruce, Marjan Friborz, Mahyar Samani, Jason Lowe-Power, Kyle Roarty, Matthew D. Sinclair, Trivikram Reddy
Publikováno v:
ISPASS
Running experiments in modern computer architecture simulators can be a difficult and error-prone endeavor. Users must track many configurations, components and outputs between simulation runs. The gem5 simulator is no exception to this, requiring re
Publikováno v:
HPCA
Contemporary GPUs are widely used for throughput-oriented data-parallel workloads and increasingly are being considered for latency-sensitive applications in datacenters. Examples include recurrent neural network (RNN) inference, network packet proce
Autor:
Matthew D. Sinclair, Joseph Devietti, Yuan Hsi Chou, Christopher Ng, Timothy G. Rogers, Jeremy Intan, Tor M. Aamodt, Shaylin Cattell
Publikováno v:
MICRO
Deterministic execution for GPUs is a desirable property as it helps with debuggability and reproducibility. It is also important for safety regulations, as safety critical workloads are starting to be deployed onto GPUs. Prior deterministic architec
Autor:
Darien Wood, Matthew D. Sinclair, Bradford M. Beckmann, Alexandru Dutu, Chow Marcus Nathaniel
Publikováno v:
ISCA
GPUs have evolved from providing highly-constrained programmability for a single kernel to using pre-emption to ensure independent forward progress for concurrently executing kernels. However, modern GPUs do not ensure independent forward progress fo
Autor:
Johnathan Alsop, Wesley H. Darvin, Giordano Salvador, Sarita V. Adve, Muhammad Huzaifa, Matthew D. Sinclair
Publikováno v:
ISPASS
This work provides the first study to explore the interaction of update propagation with and without fine-grained synchronization (push vs. pull), emerging coherence protocols (GPU vs. DeNovo coherence), and software-centric consistency models (DRF0,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34cda0a77bd0705afdf636d286cb0064