Architecture & Language Implementation
These three research groups collaborate closely and tie together the research areas of computer architecture, computer language design, and compilation.
Object Systems Laboratory
Research into persistent storage systems for object oriented languages, garbage collection algorithms, and the Java Virtual Machine.
Systems for Advanced Architecture
Research into compiler
improving memory system
and object oriented
languages; and compiler
Specialized Parallel Architectures
Research into computer architectures for specialized applications such as computer vision and benchmarks for performance evaluation of these architectures and applications.
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- DaCapo: Dynamic Cooperative Performance Optimization for Java
The CoGenT system is an integrated simulator/compiler environment. This environment includes a machine description language for describing several aspects of a machine architecture, tools that manipulate this language, and generators that produce "plug in" components for existing compiler and simulator frameworks.
- Dynamic SimpleScalar
Dynamic SimpleScalar is a version of the popular SimpleScalar
program that simulates the PowerPC architectures (currently AIX
- Scale: A Compiler Framework for Heterogeneous Systems
Scale is a compiler framework that targets heterogeneous parallel systems.
These systems provide high performance for large, diverse applications, but are difficult to program without special compiler support.
- Score: A Compiler Intermediate Representation
- Understanding, Improving, and Exploiting Data Locality
- Analyzing and Optimizing Object-oriented Languages
- Garbage Collection
Analytical models for object allocation and deallocation behavior
- Parallel Architectures
This area of our research is involved in building high-performance, application-specific parallel architectures and software for heterogeneous systems.
- Compiler Optimizations for Shared-Memory Parallel Architectures
- Distributed and Parallel Information Retrieval
This research focuses on making information retrieval (IR) systems truly useful by providing timely access to text collections both locally and across the Internet.
- Memory System Performance
- Hardware for Real-Time Processing
- Heterogeneous Processing
- Computer Vision
- Persistent Programming Languages
- Persistent Object Stores
- Transactional memory
We have descriptions available for some of our prior research projects:
We developed a heterogeneous, tightly coupled system for real-time knowledge-based computer vision, called the Image Understanding Architecture.
In conjunction with the Real-Time Systems research group, we built a single-chip parallel array, called SSCoP, that implements the scheduling kernel of the Spring real-time operating system.
- High Performance Benchmarks
We have also constructed the ARPA Image Understanding Benchmark.
This benchmark is intended to measure the appropriateness of parallel machines for image processing.
- ParaScope: A Parallel Programming Environment
UMass CS Research
Computer Science Department
University of Massachusetts, Amherst.
(Last changed: March 24, 1998.)