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2009
Tsinghua U.
15 years 4 months ago
High-performance CUDA kernel execution on FPGAs
In this work, we propose a new FPGA design flow that combines the CUDA programming model from Nvidia with the state of the art high-level synthesis tool AutoPilot from AutoESL, to...
Alexandros Papakonstantinou, Karthik Gururaj, John...
ASPLOS
2009
ACM
15 years 10 months ago
Understanding software approaches for GPGPU reliability
Even though graphics processors (GPUs) are becoming increasingly popular for general purpose computing, current (and likely near future) generations of GPUs do not provide hardwar...
Martin Dimitrov, Mike Mantor, Huiyang Zhou
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
15 years 4 months ago
FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
Alexandros Papakonstantinou, Karthik Gururaj, John...
ASPLOS
2010
ACM
15 years 4 months ago
Cortical architectures on a GPGPU
As the number of devices available per chip continues to increase, the computational potential of future computer architectures grows likewise. While this is a clear benefit for f...
Andrew Nere, Mikko Lipasti
SASP
2008
IEEE
162views Hardware» more  SASP 2008»
15 years 4 months ago
Accelerating Compute-Intensive Applications with GPUs and FPGAs
—Accelerators are special purpose processors designed to speed up compute-intensive sections of applications. Two extreme endpoints in the spectrum of possible accelerators are F...
Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadr...