'Trace selection' diaporamas de présentation

Trace Fragment Selection within Method-based JVMs

505 views • 37 slides

Trace Processors

Trace Processors. Eric Rotenberg Quinn Jacobson, Yanos Sazeides, Jim Smith Computer Science Department University of Wisconsin-Madison. Presented by Nitin Kumar. Introduction. Goal: Issue many instructions per cycle, and keep cycle times fast.

392 views • 28 slides

Peng Wu October 20, 2011

Peng Wu October 20, 2011. Reducing Trace Selection Footprint for Large-scale Java Applications without Performance Loss Peng Wu, Hiroshige Hayashizaki, Hiroshi Inoue, and Toshio Nakatani IBM Research. Trace-based Compilation in a Nut-shell. Code-gen: handle to handle trace exits.

314 views • 20 slides

Peng Wu 1/8/2020

Peng Wu 1/8/2020. Reducing Trace Selection Footprint for Large-scale Java Applications without Performance Loss Peng Wu, Hiroshige Hayashizaki, Hiroshi Inoue, and Toshio Nakatani IBM Research. Trace-based Compilation in a Nut-shell. Code-gen: handle to handle trace exits.

206 views • 20 slides

Compiler techniques for exposing ILP

Compiler techniques for exposing ILP . Instruction Level Parallelism. Potential overlap among instructions Few possibilities in a basic block Blocks are small (6-7 instructions) Instructions are dependent Goal: Exploit ILP across multiple basic blocks Iterations of a loop

1.22k views • 18 slides

Power Awareness through Selective Dynamically Optimized Traces

Power Awareness through Selective Dynamically Optimized Traces. Roni Rosner, Yoav Almog, Micha Moffie, Naftali Schwartz and Avi Mendelson – Intel Labs, Haifa, Israel. Presenter: Ioana Burcea. Agenda. Motivation for PARROT = Power-Aware aRchitecture Running Optimized Traces

253 views • 18 slides

Introduction to PQLX

Introduction to PQLX. Dr. Mary Templeton IRIS Data Management Center. PQLX Data Analysis Software. P ASSCAL Q uick L ook - version X Trace Viewer Station Viewer PSD (Power Spectral Density) Viewer. version X. PQLX. Server miniSEED trace files mySQL database

70 views • 6 slides

ARC: Protecting against HTTP Parameter Pollution Attacks Using Application Request Caches

ARC: Protecting against HTTP Parameter Pollution Attacks Using Application Request Caches. Elias Athanasopoulos, Vassileios P. Kemerlis , Michalis Polychronakis Columbia University (US) Evangelos P. Markatos FORTH-ICS (GREECE) ACNS 2012. Web Applications. HTTP Request

179 views • 0 slides