We analyze the I/O behavior of iBench, a new collection of productivity and multimedia application workloads. Our analysis reveals a number of differences between iBench and typic...
Tyler Harter, Chris Dragga, Michael Vaughn, Andrea...
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Motivated by the observation that coarse and fine resolutions of an image reveal different structures in the underlying visual phenomenon, we present a model based on the Deep B...
For a compiler writer, generating good machine code for a variety of platforms is hard work. One might try to reuse a retargetable code generator, but code generators are complex a...
Java applications rely on Just-In-Time (JIT) compilers or adaptive compilers to generate and optimize binary code at runtime to boost performance. In conventional Java Virtual Mac...